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Dennis Lin Department of Statistics

Publications

A. Refereed Papers

2022

  1. Rios, N., Winker, P., & Lin, Dennis K.J. (2022). TA algorithms for D-optimal OofA Mixture designs. Computational Statistics & Data Analysis, 168, 107411.

2021

  1. Pang, S., Wang, J., Lin, Dennis K.J., & Liu, M. Q. (2021). Construction of mixed orthogonal arrays with high strength. The Annals of Statistics, 49(5), 2870-2884.
  2. Zhao, Y., Lin, Dennis K.J., & Liu, M. Q. (2021). Optimal designs for order-of-addition experiments. Computational Statistics & Data Analysis, 165, 107320.
  3. Rios, N., & Lin, Dennis K.J. (2021). Order-of-addition mixture experiments. Journal of Quality Technology, 1-10.

2020

  1. He, P., Lin, Dennis K.J., Liu, Min-Qian, Xu, Q.S., and Zhou, Y.D. (2020)
    Theory and Application of Uniform Designs.
    SCIENCE SINICA Mathematica, 50, 561–570 (in Chinese).
  2. Liu, M.Q., Lin, Dennis K.J. and Zhou, Y.D. (2020)
    The Contribution to Experimental Designs by Kai-Tai Fang.
    Chapter#2 in Contemporary Experimental Design, Multivariate Analysis and Data Mining—Festschrift in Honour of Professor Kai-Tai Fang, Springer.
  3. Winker, Peter, Chen, Jiabin and Lin, Dennis K.J. (2020)
    The construction of optimal design for order-of-addition experiment via threshold accepting.
    Chapter#6 in Contemporary Experimental Design, Multivariate Analysis and Data Mining—Festschrift in Honour of Professor Kai-Tai Fang, Springer.
  4. Zhou, P., Lin, D. K.J., Niu, X., & He, Z. (2020).
    Monitoring Binary Networks for Anomalous Communication Patterns based on the Structural Statistics.
    Computers & Industrial Engineering, 106451.
  5. Zhou, P., Lin, D. K.J., Niu, X., & He, Z. (2020).
    Performance evaluation method for network monitoring based on separable temporal exponential random graph models with application to the study of autocorrelation effects.
    Computers & Industrial Engineering, 106507.
  6. Ping, H., Lin, Dennis K.J., Liu, Min-Qian, Xu, Qingsong, and Zhou, Yongdao.
    Theory and application of uniform designs.
    SCIENTIA SINICA Mathematica, 50, 1-11.
  7. Chou, S. H., Chang, S., Tsai, T. R., Lin, D. K., Xia, Y., & Lin, Y. S. (2020).
    Implementation of Statistical Process Control Framework with Machine Learning on Waveform Profiles with No Gold Standard Reference.
    Computers & Industrial Engineering, 142, 106325.
  8. Peng, J.Y. and Lin, Dennis K.J. (2020).
    Small Screening Design When the Overall Variance is Unknown.
    Journal of Statistical Planning and Inference, 205, 1-9.
  9. Hengzhen Huang, Dennis K. J. Lin, Min-Qian Liu & Qiaozhen Zhang (2020).
    Variable selection for kriging in computer experiments.
    Journal of Quality Technology, 52:1, 40-53

2019

  1. Dennis K. J. Lin & Jiayu Peng (2019).
    Order-of-addition experiments: A review and some new thoughts.
    Quality Engineering, 31, 49-59 and 69-72 (Rejoinder)
  2. Zhou, X.J., Lin, Dennis K.J., Hu, X.L. and Ouyang, L.H. (2019).
    Sequential Latin Hypercube Design with Both Space-filling and Projective Properties.
    Quality and Reliability Engineering-International, forthcoming.
  3. Peng, J.Y., Mukerjee, Rahul and Lin, Dennis K.J (2019).
    Design of order-of-addition experiments.
    Biometrika, forthcoming.
  4. Shen, W.J. and Lin, Dennis K.J. (2019)
    Statistical Theories for Dimensional Analysis.
    Statistica Sinica, 29, 527-550.
  5. Yang, Zebin, Zhang, Aijun, and Lin, Dennis K.J. (2019).
    Interval-valued Data Prediction via Regularized Artificial Neural Network
    Computational Statistics and Data Analysis, forthcoming.
  6. Chen, H., Yang, J.Y., Lin, Dennis K.J., and Liu, M.Q. (2019).
    Sliced Latin Hypercube Designs with Both Branching and Nested Factors
    Statistics and Probability Letters, 146, 124—131.
  7. Peng, Jiayu and Lin, Dennis K.J. (2019).
    Construction of Optimal Run Order in Design of Experiments.
    Journal of Quality Technology, forthcoming.
  8. Yang, Ching-Chi and Lin, Dennis K.J.(2019).
    Stochastic Lead Time with Order Crossover.
    Quality Technology & Quality Management, forthcoming.

2018

  1. Shen, Weijie and Lin, Dennis K.J. (2018).
    A Conjugate Model for Dimensional Analysis.
    Technometrics, 60, 79—89.
  2. Shen, W.J., Lin, Dennis K.J. and Chang, C.J. (2018)
    Design and Analysis of Computer Experiment via Dimensional Analysis.
    Quality Engineering, 30, 311—328.
  3. Wang, L., Sun, F.S., Lin, Dennis K.J. and Liu, M.Q. (2018).
    Construction of Orthogonal Symmetric Latin Hypercube Designs.
    Statistica Sinica. 28, 1503—1520.
  4. Shi, L.X., Gong, L. and Lin, Dennis K.J., (2018).
    CRPS Chart: Simultaneously Monitoring Location and Scale Under Data-Rich Environment.
    Quality and Reliability Engineering, International, 34, 681—697.
  5. Jordan, John M. and Lin, Dennis K.J. (2018).
    Statistics, Statisticians, and the Internet of Things.
    Chapter #1 in Handbook of Big Data Analytics (Ed. By Hardle, W.K., Lu, Henry H.S. and Shen, X.).
  6. You, C., Lin, Dennis K.J. and Young, S.S.(2018).
    Time Series Smoother for Effect Detection.
    PLOS ONE, 13(4), 1-22
  7. You, C., Lin, Dennis K.J. and Young, S.S.(2018).
    PM2.5 and ozone, indications of air quality, and acute deaths in California, 2004—2007.
    Regulatory Toxicology and Pharmacology, forthcoming.
  8. Zhou, Panpan, Lin, Dennis K.J., Niu, Xiaoyue, and He, Zhen. (2018).
    Monitoring network data by considering the correlation of network feature statistics.
    Proceedings of International Conference on Computers and Industrial Engineering, CIE, Volume 2018.

2017

  1. Li, X.D., He, X., He, Y.Z. and Lin, Dennis K.J. (2017).
    The Design and Analysis for the Icing Wind Tunnel Experiment of Deicing Coating.
    Journal of American Statistical Association, 112, 1417—1429.
  2. Yuan, R., Lin, Dennis K.J. and Liu, M.Q., (2017).
    Nearly Column-Orthogonal Designs Based on Leave-one-out Good Lattice Points.
    Journal of Statistical Planning & Inference, 185, 29—40.
  3. Nachtsheim, Abigael, Shen, Weijie and Lin, Dennis K.J. (2017).
    Two-Level Augmented Definitive Screening Designs.
    Journal of Quality Technology, 49, 93—107.
  4. Shi, Liangxing, Xiao, H. and Lin, Dennis K.J. (2017).
    The Loss Function-based Ridge Analysis of Multiple Response Surface.
    Quality Reliability Engineering, International, 32, 2623-2834.

2016

  1. Li, W.W. and Lin, Dennis K.J. (2016).
    A Note on Foldover of 2k-p Designs with Column Permutations.
    Technometrics, 58, 508—512.
  2. Huang, Hengzhen, Lin, Dennis K.J., Liu, Min-Qian, and Yang, Jian-Feng, (2016).
    Design and Analysis for Computer Experiments with Both Qualitative and Quantitative Variables.
    Technometrics, 58, 495—507.
  3. Zhao, S.L., Lin, Dennis K.J., and Li, P.F. (2016).
    A Note on the Construction of Blocked Two-Level Designs with General Minimum Lower Order Confounding.
    Journal of Statistical Planning & Inference, 172, 16-27.
  4. Chen, Hao, Huang, H.Z., Lin, Dennis K.J., and Liu, M.Q. (2016).
    Uniform Sliced Latin Hypercube Design.
    Applied Stochastic Models in Business & Industry, 32, 574-584.
  5. Yang, X., Yang, J.F., Lin, Dennis K.J. and Liu, M.Q. (2016).
    A New Class of Nested Orthogonal Latin Hypercube Designs.
    Statistica Sinica, 26, 1249-1267.
  6. Changpetch, P. and Lin, Dennis K.J. (2016).
    Equivalent Models in Association Rules Analysis: Parallel Effects to Decision Tree Analysis and Statistical Model Selection Methods.
    Journal of Data Science, 14, 713-738.
  7. Yang, J.Y., Chen, H., Lin, Dennis K.J. and Liu, M.Q. (2016).
    Construction of Sliced Maximin-Orthogonal Latin Hypercube Designs.
    Statistica Sinica, 26, 589—603.
  8. Shi, L.X., Lin, Dennis K.J., and Peterson, J.J. (2016).
    A Confidence Region for the Ridge Path in Multiple Response Surface Optimization.
    European Journal of Operational Research, 252, 829—836.
  9. Shi, Liangxing, Ma, Hongye, and Lin, Dennis K.J. (2016).
    Process capability analysis via continuous ranked probability score.
    Quality and Reliability Engineering, 32, 2823—2834.

2015

  1. Phoa, Frederick K.H. and Lin, Dennis K.J. (2015).
    A Systematic Approach from the Construction of Definitive Screening Designs.
    Statistica Sinica, 25, 853—861.
  2. Quinlan, K. and Lin, Dennis K.J. (2015).
    Run Order Considerations for Plackett and Burman Designs.
    Journal of Statistical Planning and Inference, 165, 56—62.
  3. Wang, L., Yang, J.F., Liu, M.Q. and Lin, Dennis K.J. (2015).
    Nearly Orthogonal Latin Hypercube Designs for Many Design Factors.
    Statistica Sinica, 25 (4), 1599—1612.
  4. Lee, C., Pham, M, Kim, N., Jeong, M.K. Lin, Dennis K.J. and Chavalitwongse, W.A. (2015).
    A Network Structure Approach to the Link Prediction Problem.
    INFORMS Journal on Computing, 27 (2), 249-267.
  5. Steinberg, D.M. and Lin, Dennis K.J. (2015).
    Construction of Orthogonal Nearly Latin Hypercubes.
    Quality and Reliability Engineering, International, 31 (8), 1397–1406.
  6. Changpetch, Pannapa and Lin, Dennis K.J. (2015).
    Interestingness Measures for Classification Rule Mining: Model Selection Ability.
    International Journal of Computer Science Issues (IJCSi), 12, 76—87.
  7. Changpetch, Pannapa and Lin, Dennis K.J. (2015).
    Model Selection for Poisson Regression via Association Rules Analysis.
    International Journal of Statistical & Probability, 4(2), 1—9.
  8. Chen, Ray-Bing and Lin, Dennis K.J. (2015).
    A Note on Conditionally Optimal Star Points in Central Composite Designs for Response Surface Methodology.
    Journal of Chinese Statistical Association, 53, 145—157.

2014

  1. Zhao, ZhiBiao, Wei, Ying, and Lin, Dennis K.J. (2014) .
    Asymptotics of Nonparametric L-1 Regression Models with Dependent Data.
    Bernoulli, 20, 1532-1559.
  2. Shen, WeiJie, David, Tim, Lin, Dennis K.J., and Nachtsheim C.J. (2014).
    Dimensional Analysis and Its Applications in Statistics.
    Journal of Quality Technology, 46, 185-198.
    # This paper won the 2014 ASQ Brumbaugh Award.
  3. Yang, JinYu, Lin, Dennis K.J., and Liu Min-Quan (2014).
    Construction of Minimal-Point Mixed-Level Screening Designs Using Conference Matrices.
    Journal of Quality Technology, 46, 251-264.
  4. Lu, L., Anderson-Cook, C.M. and Lin, Dennis K.J. (2014).
    Optimal Designed Experiments Using a Pareto Front Search for Focused Desirability Function Weights.
    Computational Statistics & Data Analysis, 71, 1178—1192.
  5. Gutman, A.J., White, E.D., Lin, Dennis K.J., and Hill, R.R. (2014).
    Augmenting Supersaturated Designs with Bayesian D-optimality.
    Computational Statistics and Data Analysis, 71, 1147-1158.
  6. Jordan, J.M. and Lin, Dennis K.J. (2014).
    Statistics for Big Data: Are Statisticians Ready for Big Data?
    International Chinese Statistical Association Bulletin, 26, 59-66.
  7. Yang, J.Y., Liu, M.Q., and Lin, Dennis K.J. (2014).
    Construction of Nested Orthogonal Latin Hypercube Designs.
    Statistica Sinica, 24, 211-219.
  8. Lin, Dennis K.J. (2014).
    Comments: Some Challenges for Multivariate Statistical Process Control.
    Quality Engineering, 26, 96-98.
  9. Yin, Y.H., Lin, Dennis K.J., and Liu, M.Q. (2014).
    Sliced Latin Hypercube Designs via Orthogonal Arrays.
    Journal of Statistical Planning and Inference, 149, 162-171.

2013

  1. Li, Runze, Lin, Dennis K.J., and Li, Bing (2013).
    Statistical Inference on Massive Data Sets.
    Applied Stochastic Models in Business and Industry, 29, 399-409.
  2. Ai, M.Y., Li, K., Liu, S.M, and Lin, Dennis K.J. (2013).
    Balanced Incomplete Latin Square Designs.
    Journal of Statistical Planning and Inference, 143, 1575-1582.
  3. Lin, Dennis K.J., Chen, Y.S., and Kuo, M.H. (2013).
    Process Mining: Process Model from Event Logs.
    Journal of Data Analysis, 8, 1-30.
  4. Wadhwa, V., and Lin, Dennis K.J. (2013).
    Comment on ‘Process Mining: Process Model from Event Logs’.
    Journal of Data Analysis, 8 , 48-57.
  5. Lin, Dennis K.J. and Xiao, Lili (2013).
    A Note on Saturated First-Order Design with Foldover Structure.
    Journal of Statistical Theory and Practice, 7, 725-731.
  6. Lin, Dennis K.J. and Shen WeiJie (2013).
    Comment: Some Statistical Concerns on Dimensional Analysis.
    Technometrics, 55, 281-285.
  7. Liu, X., Yue, R.X., and Lin, Dennis K.J. (2013).
    Optimal Design for Predication in Multiresponse Linear Models based on Rectangular Confidence Region.
    Journal of Statistical Planning and Inference, 143, 1954-1967.
  8. Yang, J.F., Lin, C.D., Qian, Peter Z.G., and Lin, Dennis K.J. (2013).
    Construction of Sliced Orthogonal Latin Hypercube Designs.
    Statistica Sinica, 23, 1117-1130.
  9. Changpetch, Pannapa and Lin, Dennis K.J.  (2013).
    Selection for Multinomial Logit Models via Association Rules Analysis.
    WIRE Computational Statistics, 5, 68-77.
  10. Lin, Dennis K.J. and Zhou, Julie (2013).
    D-optimal Minimax Fractional Factorial Designs.
    The Canadian Journal of Statistics, 41, 352-340.
  11. Yuangyai, C. and Lin, Dennis K.J. (2013).
    Understanding Multistage Experiments.
    International Journal of Experimental Design and Process Optimization, 3, 384 – 409.
  12. Phoa, Frederick K.H. and Lin, Dennis K.J. (2013).
    A Systematic Approach for the Construction of Definitive Screening Designs.
    Statistica Sinica.

2012

  1. Wei, Ying, Zhao, Zhibiao, and Lin, Dennis K.J. (2012).
    Profile Control Charts Based on Nonparametric L-1 Regression Methods.
    The Annals of Applied Statistics, 6, 409-427.
  2. Bilsel, R. Ufuk, and Lin, Dennis K.J. (2012).
    Ishikava Cause and Effect Diagrams Using Capture Recapture Techniques.
    Quality Technology and Quantitative Management, 9, 137-152.
  3. Huang, Chao, Lin, Dennis K.J., and Liu, Min-Quan (2012).
    An Optimality Criterion for Supersaturated Designs with Quantitative Factors.
    Journal of Statistical Planning and Inference, 142, 1780-1788.
  4. Chang, Shing L, Tsai, Tzong-Ru, Lin, Dennis K.J., Chou, Shih-Hsiung, and Lin, Yu-Siang (2012).
    Statistical Process Control for Monitoring Nonlinear Profiles: A Six Sigma Project on Curing Process.
    Quality Engineering, 24, 251-263.
  5. Tang, Yu, Xu, Hongquan, and Lin, Dennis K.J. (2012).
    Uniform Fractional Factorial Designs.
    The Annals of Statistics, 40, 891-907.
  6. Xiao, Lili, Lin, Dennis K.J., and Bai, Fengshan (2012).
    Constructing Definitive Screening Designs Using Conference Matrices.
    Journal of Quality Technology, 44, 1-7.
  7. Nguyen, N.K. and Lin, Dennis K.J. (2012).
    A Note on Near-Orthogonal Latin Hypercubes with Good Space-Filling Properties.
    Journal of Statistical Theory and Practice, 6, 492-500.            
  8. Chandra, W. and Lin, Dennis K.J. (2012).
    Parameter Calibration and Inadequacy Modeling in a Computer Experiment.
    Quality and Reliability Engineering International, 28, 35-46.                   

2011

  1. Scinto, Philip R., Wilkinson, Robert G., and Lin, Dennis K.J. (2011).
    Screening for Fuel Economy: A Case Study of Supersaturated Designs in Practice.
    Quality Engineering, 23, 15-25.
  2. Nguyen, Nam-Ky and Lin, Dennis K.J. (2011).
    A Note on Small Composite Designs for Sequential Experimentation.
    Journal of Statistical Theory and Practice, 5, 109-117.
  3. Sun, Fasheng, Lin, Dennis K.J., and Liu, Minqian (2011).
    On Construction of Optimal Mixed-Level Supersaturated Designs.
    The Annals of Statistics, 39, 1310-1333.
  4. Zhang, Tian-Fang, Yang, Jian-Feng, and Lin, Dennis K.J. (2011).
    Small Box-Behnken Design.
    Statistics and Probability Letters, 81, 1027-1033.
  5. Kao, Lanfeng, Lin, Dennis K.J., and Chen, Anlin (2011).
    Does Sarbanes-Oxley Act Affect Earnings Persistence?
    Review of Accounting and Auditing Studies, 1, 1-23.
  6. Chen, Hsin-Huan, Tsai Hsien-Tang, and Lin, Dennis K.J. (2011).
    Optimal Mean-variance Portfolio selection Using Cauchy-Schwarz Maximization.
    Applied Economics, 43, 2795-2801.
  7. Bi, Henry H., Wang Jianrui, and Lin, Dennis K.J. (2011).
    Comprehensive Citation Index for Research Networks.
    IEEE Transactions on Knowledge and Data Engineering, 23, 1274-1278.
  8. Winker, Peter and Lin, Dennis K.J. (2011).
    Robust Uniform Design with Errors in the Design Variables.
    Statistica Sinica, 21, 1379-1396.
  9. Das, Rabindra Nath and Lin, Dennis K.J. (2011).
    On D-optimal Robust Designs for Lifetime Improvement Experiments.
    Journal of Statistical Planning and Inference, 141, 3753-3759.

2010

  1. Zhu, Junjia and Lin, Dennis K.J. (2010).
    Monitoring the Slopes of Linear Profiles.
    Quality Engineering, 22, 1-12.
  2. Lin, Dennis K.J., Kao, Lanfeng, and Chen Anlin (2010).
    Winner’s Curse in Initial Public Offering Subscriptions with Investors’ Withdrawal Options.
    Asia-Pacific Journal of Financial Studies, 39. 3-27.
  3. Lin, Dennis K.J., Sharpe, C., and Winker, P. (2010).
    Optimized U-type Designs on Flexible Regions.
    Computational Statistics and Data Analysis, 54, 1505-1515.
  4. Coetzer, Roelof L.J., Engelbrecht, J.P., Crause, J.C., and Lin, Dennis K.J. (2010).
    Statistical Robustness Study for Kinetic Models.
    Industrial and Engineering Chemistry Research, 49, 2932-2942.
  5. Sun, Fasheng, Liu, Min-Qian, and Lin, Dennis K.J. (2010).
    Construction of Orthogonal Latin Hypercube Designs with Flexible Run Sizes.
    Journal of Statistical Planning and Inference, 140, 3236-3242.
  6. Yang, Jianfeng, Sun, Fasheng, Lin, Dennis K.J., and Liu, Min-Qian (2010).
    A Study on Design Uniformity Under Errors in the Level Values.
    Statistics and Probability Letters, 80, 1467-1471.
  7. Jeong, In-Jun, Kim, Kwang-Jae, and Lin, Dennis K.J. (2010).
    Bayesian Analysis for Weighted Mean-squared Error in Dual Response Surface Optimization.
    Quality and Reliability Engineering International, 26, 417-430.

2009

  1. Sun, F.S., Liu, Min-Quan, and Lin, Dennis K.J. (2009).
    Construction of Orthogonal Latin Hypercube Designs.
    Biometrika, 96, 971-974.
  2. Liu, M.Q. and Lin, Dennis K.J. (2009).
    Construction of Optimal Mixed-Level Supersaturated Designs.
    Statistica Sinica, 19, 197-211.
  3. Bi, H.H. and Lin, Dennis K.J. (2009).
    RFID-Enabled Discovery of Supply Networks.
    IEEE Transactions on Engineering Management, 56, 129-141.
  4. Huang, Zan and Lin, Dennis K.J. (2009).
    The Time-Series Link Prediction Problem with Applications in Communication Surveillance.
    INFORMS Journal on Computing, 21, 286-303.
  5. Fu, H.H., Lin, Dennis K.J., Tsai, H.T., Wei, D. (2009).
    Applying Lot-by-lot Double Sampling Plan to Reform Taiwan National Health Insurance Auditing System.
    Quality & Quantity, 43, 571-584.
  6. Pang, F., Liu, M.Q. and Lin, Dennis K.J. (2009).
    A Construction Method for Orthogonal Latin Hypercube Designs With Prime Power Levels.
    Statistica Sinica, 19, 1721-1728.
  7. Sarkar, A., Lin, Dennis K.J., and Chatterjee Kashinath (2009).
    Probability of correct model identification in supersaturated design.
    Statistics and Probability Letters, 79, 1224-1230.
  8. Yang, S.F., Lin, Dennis K.J., and Hung, T.C. (2009).
    Improvement inconsistency of the metallic film thickness of computer connectors.
    Journal of Process Control, 19, 498-505.
  9. Peterson, J.J. and Lin, Dennis K.J. (2009).
    Special Issues on Response Surface Methodology (Editorial).
    Quality Technology and Quantitative Management, 6, 205-206.
  10. Lu, X., Lin, Dennis K.J., and Zhou, Daxin (2009).
    On Construction of Two-stage Response Surface Designs.
    Quality Technology and Quantitative Management, 6, 493-502.
  11. Li, Runze and Lin, Dennis, K.J. (2009).
    Variable Selection for Screening Experiments.
    Quality Technology and Quantitative Management, 6, 271-280.
  12. Lin, Dennis K.J. (2009).
    RFID: A technology to Change Statistical Thinking.
    China Statistics, 1, 37-40 (in Chinese).

2008

  1. Jones, B., Lin, Dennis K.J., and Nachtsheim, C. (2008).
    Bayesian D-optimal Supersaturated Designs.
    Journal of Statistical Planning and Inference, 138, 86-92.
  2. Chatterjee, K., Sarkar, A., and Lin, Dennis K.J. (2008).
    Supersaturated Designs with High Searching Probability.
    Journal of Statistical Planning and Inference, 138, 272-277.
  3. Lin, Dennis K.J. and Wadhwa, Vijay (2008).
    Efficiency Gets a New Identity: Barcode and RFID in the Supply Chain.
    Quality Progress, 41, 20-24.
  4. Deng, L.Y., Guo, R., Lin, Dennis K.J., and Bai, F.S. (2008).
    Improving Random Number Generators in the Monte Carlo Simulations Via Twisting and Combining.
    Computer Physics Communications,178, 401-408.
  5. Ai, M.Y., Hickernell, F.J., and Lin, Dennis K.J. (2008).
    Optimal Foldover Plans for Regular S-level Fractional Factorial Designs.
    Statistics and Probability Letters, 78, 896-903.
  6. Coetzer, R.L.J., Rossouw, R.F., and Lin, Dennis K.J. (2008).
    Dual Response Surface Optimization with Hard-to-control Variables for Sustainable Gasifier Performance.
    Journal of the Royal Statistical Society, Series C (Applied Statistics), 57, 567-587.
  7. Acharya, Navin N. and Lin, Dennis K.J. (2008).
    Understanding a ZnO Nanorods Fabrication Process: a Supersaturated Design Approach.
    International Journal of Nanomanufacturing, 2, 319-330.
  8. Wadhwa, Vijay and Lin, Dennis K.J. (2008).
    Radio Frequency Identification: A New Opportunity  for Data Science.
    Journal of Data Science, 6, 369-388.
  9. Lin, Dennis K.J. (2008).
    Statistics and Its Application in Drunk Driver Detection.
    China Statistics (in Chinese).
  10. Fang, K.T. and Lin, Dennis K.J. (2008).
    Uniform Design in Computer and Physical Experiments.
    The Grammar of Technology Development, ed. Shu Yamada, pp.105-125.
  11. Chen, R.B., Tsai, Y.J., and Lin, Dennis K.J. (2008).
    Conditionally Optimal Small Composite Designs.
    Statistics and Applications, 6, 29-48.

2007

  1. Mcdermott, J. and Lin, Dennis K.J. (2007).
    Quantile Contours and Multivariate Density Estimation for Massive Datasets via Sequential Convex Hull Peeling.
    IIE Transactions in Quality and Reliability, 39, 581-591.
  2. Huang, C.M., Lee, Y.J., Lin, Dennis K.J., and Huang, S.Y. (2007).
    Model Selection for Support Vector Machines Via Uniform Design.
    Computational Statistics & Data Analysis, 52, 335-346.
  3. Mcdermott, J., Babu, G.J., Liechty, J.C. and Lin, Dennis K.J. (2007).
    Data Skeletons: Simultaneous Estimation on Multiple Quantiles for Massive Streaming Datasets with Applications to Density Estimation.
    Journal of Statistics & Computing, 17, 311-321.
  4. Yang, Zhenlin and Lin, Dennis K.J. (2007).
    Improved Common Shape Estimation for Weibull Distributions.
    Applied Stochastic Models for Business and Industry, 23, 373-383.

2006

  1. Steinberg, David M. and Lin, Dennis K.J. (2006).
    A Construction Method for Orthogonal Latin Hypercube Designs.
    Biometrika, 93(2), 279 – 288. (Amendments and Corrections on P.1025)
  2. Cheng, K.F., Chu, C.K. and Lin, Dennis K.J. (2006).
    Quick Multivariate Kernel Density Estimation for Massive Datasets.
    Applied Stochastic Models in Business and Industry, 22, 533-546.
  3. Fu, Hwai-Hui, Lin, Dennis K.J. and Tsai, H.T. (2006).
    Damping Factor in Google Page Ran.
    Applied Stochastic Models in Business and Industry, 22, 431-444.
  4. Yeh, A.B., Lin, Dennis K.J., and McGrath, R.N. (2006).
    Multivariate Control Charts for Monitoring Covariance Matrix: A Review.
    International Journal of Quality Technology and Quality Management, 3(4), 415-436.
  5. Yamada, Shu, Lin, Dennis K.J., Matsui, Michiyo, Matsui, Tomomi, and Takenori Takahashi (2006).
    A General Construction Method for Mixed-Level Supersaturated Design.
    Computational Statistics and Data Analysis, 50(1), 254-265.
  6. Kim, K.J. and Lin, Dennis K.J. (2006).
    Optimization of Multiple Responses Considering Both Location and Dispersion Effects.
    European Journal of Operation Research, 169, 133-145.
  7. Chao, M.T. and Lin, Dennis K.J. (2006).
    Another Look at the Process Capability Index.
    Quality and Reliability Engineering, International, 22, 153-163.
  8. Lin, Dennis K.J. and RFID Study Group at Pennsylvania State University (2006).
    Challenges in RFID Enabled Supply Chain Management.
    Quality Progress, 39(11), 23-28.
  9. Lin, Dennis K.J. and Peterson, J.J. (2006).
    Statistical Inference for Response Surface Optima.
    Chapter 4 in Response Surface Methodology and Related Topics, ed. Andre I. Khuri, pp.63-88, World Scientific: Washington DC.
  10. Lin, Dennis K.J. (2006).
    Book Review on Statistics for Experimenters: Design, Innovation, and Discovery (Second Edition) By George E.P. Box, J. Stuart Hunter and William G. Hunter.
    Journal of Quality Technology, 38, 78-80.
  11. Lin, Dennis K.J. (2006).
    “Editorials”.
    Applied Stochastic Models in Business and Industry, 22, 397-400.

2005

  1. Ding, R., Lin, Dennis K.J., Peterson, J.J.  (2005).
    Large Sample Confidence Band for Ridge Path of Muti-response Surfaces.
    Quality & Reliability Engineering, International, 21, 669-675.
  2. Fu, Hwai-Hui, Lin, Dennis K.J. and Bai, F.S., Tsai, H.T. and Wei, D. (2005).
    Sensitivity Analysis on Damping Factor in Google PageRank.
    Journal of Chinese Statistical Association, 43, 145-164 (in Chinese).
  3. Beattie, Scott D. and Lin, Dennis K.J. (2005).
    A New Class of Latin Hypercube for Computer Experiments.
    Contemporary Multivariate Analysis and Experimental Designs—In Celebration of Professor Kai-Tai Fang’s 65th birthday, pp. 205-226, ed. Jianqing Fan and Gang Li, The World Scientific Publisher.

2004

  1. Ding, R., Lin, Dennis K.J., and Wei, D. (2004).
    Dual Response Surface Optimization: A Weighted MSE Approach.
    Quality Engineering, 16, 377-385.
  2. Tang, M., Li, J., Chan, L.Y. and Lin, Dennis K.J. (2004).
    Application of Uniform Design to the Design of Cement Mixture.
    Quality Engineering, 16, 461-474.
  3. Beattie, Scoot D. and Lin, Dennis K.J. (2004).
    Rotated Factorial Designs for Computer Experiments.
    Journal of Chinese Statistical Association, 42, 289-308.
  4. Li, Runze, Lin, Dennis K.J. and Chen, Y. (2004).
    Uniform Design: Design, Analysis and Its Application.
    International Journal of Materials and Product Technology, 20, 101-114.
  5. Xu, K., Lin, Dennis K.J., Tang, L.C. and Xie, M. (2004).
    Multiresponse Systems Optimization Using the Goal Attainment Approach.
    IIE Transaction, Quality and Reliability Engineering, 36, 433-445.
  6. Yeh, A.B., Lin, Dennis K.J. and Venkataramani, C. (2004).
    Unified CUSUM Charts for Monitoring Process Mean and Variability.
    Quality Technology & Quality Management, 1, 65-85.
  7. Ma, Heather and Lin, Dennis K.J. (2004).
    Effects of Simpson’s Paradox in Market Basket Analysis.
    Journal of Chinese Statistical Association, 42, 209-221.

2003

  1. Liechty, J., Lin, Dennis K.J., and Mcdermott, J. (2003).
    Single-Pass Low-Storage Arbitrary Quantile Estimation for Massive Datasets.
    Statistics & Computing, 13, 91-100.
  2. Li, W.W., Ye, Kenny and Lin, Dennis K.J. (2003).
    Optimal Foldover Plans for Non-Regular Orthogonal Designs.
    Technometrics, 45, 347-351.
  3. Li, W.W. and Lin, Dennis K.J. (2003).
    Optimal Foldover Two-Level Fractional Factorial Designs.
    Technometrics, 45, 142-149.
  4. McGrath, Richard N. and Lin, Dennis K.J. (2003).
    Analysis of Location and Dispersion Effects in Unreplicated Fractional Factorial Designs.
    Statistics and Probability Letters, 65, 369-377.
  5. Stavrulaki, Euthemia, Fong, Duncan K.H. and Lin, Dennis K.J. (2003).
    Two-Resources Stochastic Capacity Planning Incorporating Prior Information.
    Journal of the Operation Research Society,54(11), 1198-1208.
  6. Fang, K.T., Lin, Dennis K.J. and Qin, Hong (2003).
    A Note on Optimal Foldover Design.
    Statistics and Probability Letters, 62, 245-250.
  7. Ma, Mi-Chia, Su, Pei-Fang, and Lin, Dennis K.J. (2003).
    Mining the Descriptive Statistics of a Large Data Bases.
    Journal of Chinese Statistical Association, 41, 97-116 (in Chinese).
  8. Fang, K.T., Lin, Dennis K.J., and Liu, M.Q. (2003).
    Optimal Mixed-Level Supersaturated Designs and Computer Experiment.
    Metrika, 58, 279-291.
  9. Yeh, A.B., Lin, Dennis K.J., Zhou, Honghong, and Venkataramani, C. (2003).
    A Multivariate Exponentially Weighted Moving Average Control Chart for Monitoring Process Variability.
    Journal of Applied Statistics, 30, 507-536.
  10. Chen, J.H., Lin, Dennis K.J., and Thomas, D. (2003).
    On the single item fill rate for a finite horizon.
    Operation Research Letters, 31, 119-123.
  11. Ma, C.X., Fang, K.T. and Lin, Dennis K.J. (2003).
    A Note on Uniformity and Orthogonality.
    Journal of Statistical Planning and Inference, 113, 323-334.
  12. Aggarwal, M.L., Budhraja, V. and Lin, Dennis K.J. (2003).
    A New Class of Orthogonal Array and Its Application.
    IAPQR Transaction, 28, 23-32.
  13. Zen, M.M., Lin, Y.H. and Lin, Dennis K.J. (2003).
    Regression Analysis for Large Datasets.
    Journal of Chinese Statistical Association, 41, 401-420 (in Chinese).
  14. Li, Runze and Lin, Dennis K.J. (2003).
    Analysis Methods for Supersaturated Design: Some Comparisons.
    Journal of Data Science, 1, 103-121.
  15. Lin, Dennis K.J. (2003).
    Industrial Experimentation for Screening.
    Handbook of Statistics in Industry, Chapter 2, pp.33-73, Volume 22, ed. C.R. Rao and R. Khattree, North Holland: New York.
  16. Fang, K.T. and Lin, Dennis K.J. (2003).
    Uniform Experimental Design and Its Applications in Industry.
    Handbook of Statistics in Industry, Chapter 4, pp. 131-170, Volume 22, ed. C.R. Rao and R. Khattree, North Holland: New York.

2002

  1. Beattie, Scott D., Fong, Duncan K.H. and Lin, Dennis K.J. (2002).
    A Two-Stage Model Selection Strategy for Supersaturated Designs.
    Technometrics, 44, 55-63.
  2. McGrath, R.N. and Lin, Dennis K.J. (2002).
    A Nonparametric Dispersion Test for Unreplicated Two-Level Fractional Factorial Designs.
    The Journal of Nonparametric Statistics, 14(6), 699-714.
  3. Li, R.Z. and Lin, Dennis K.J. (2002).
    Data Analysis in Supersaturated Design.
    Statistics and Probability Letters, 59, 135-144.
  4. Yamada, Shu and Lin, Dennis K.J.  (2002).
    Construction of Mixed-Level Supersaturated Designs.
    Metrika, 56, 205-214.
  5. Yeh, Arthur B. and Lin, Dennis K.J. (2002).
    A New Variable Control Chart for Multivariate Processes.
    International Journal of Reliability Quality & Safety Engineering, 9, 41-59.
  6. Chan, L.Y., Dennis K.J. Lin, M. Xie and T.N. Goh, (2002).
    Cumulative Probability Control Charts for Geometric and Exponential Random Variables.
    International Journal of Production Research,40, 133-150.
  7. Shia, B.C., Lin, Dennis K.J. and Sheng, H.F. (2002).
    Study on Consumer Indexes.
    Taiwan Outlook, 1, 266-268 (in Chinese).
  8. Yeh, Arthur B., Chen, Yun-Shiow and Lin, Dennis K.J. (2002).
    The Box-chart: A New Variable Control Chart.
    Journal Chinese Statistical Association, 40, 147-166 (in Chinese).
  9. Lin, Dennis K.J. (2002).
    Recent Advances in Designing Industrial Experimentations.
    Calcutta Statistical Association Bulletin, 52, Nos. 205-108, pp. 47-69.
  10. Lin, Dennis K.J. (2002).
    “Dennis’ Column” in China Statistics, special invited articles:
    Statistical Data Mining in Taiwan (July issue);
    Words and Numbers (August issue);
    Statistical Thinking: Old and New (September issue);
    Lost in Massive Datasets (October issue);
    From Titanic Data to Statistical Report (November issue);
    The Next Generation & Statistics (December issue).

2001

  1. McGrath, Richard N. and Dennis K.J. Lin, (2001).
    Testing Multiple Dispersion Effects in Unreplicated Fractional Factorial Designs.
    Technometrics, 43, 406-414.
  2. Balkin, Sandy D. and Dennis K.J. Lin, (2001).
    Performance of Sensitizing Rules on Shewhart Control Charts with Correlated Observations.
    International Journal of Reliability Quality & Safety Engineering, 8, 159-171.
  3. McGrath, Richard N. and Lin, Dennis K.J. (2001).
    Confounding of Location and Dispersion Effects in Unreplicated Fractional Factorials.
    Journal of Quality Technology, 33, 129-139.
  4. Lin, D.K.J. and Chang, J.Y. (2001).
    A Note on Cyclic Orthogonal Designs.
    Statistica Sinica, 11, 549-552.
  5. Ma, C.X., Fang, K.T. and Lin, Dennis. K.J. (2001).
    On Isomorphism of Fractional Factorial Designs.
    Journal of Complexity, 17, 86-97.
  6. Chatterjee, K., Deng, Lih-Yuan and Lin, Dennis K.J. (2001).
    Two-Level Search Design for Main-Effect Plus Two Plan.
    Metrika, 54, 233-245.
  7. Chang, F.C., Huang Lo, M.N., Lin, Dennis K.J. and Yang, H.C. (2001).
    Optimal Designs for Dual Response Polynomial Regression Models.
    Journal of Statistical Planning and Inference, 93, 309-322.
  8. Lin, Yen-Shung and Lin, Dennis K.J. (2001).
    Recent Development on Statistical Inference for Massive Datasets.
    Special Issue on Data Mining, Journal of Statistics, National Cheng-Kung University,24, 85-99 (in Chinese).
  9. Simpson, Timothy W., Lin, Dennis K.J., and Chen, W. (2001).
    Sampling Strategies for Computer Experiments: Design and Analysis.
    International Journal of Reliability and Application, 2(3), 209-240.

2000

  1. Fang, K.T., Lin, D.K.J., Winker, Peter and Zhang, Y (2000).
    Uniform Design: Theory and Application.
    Technometrics, 42, 237-248.
  2. Kim, Kwang-Jae and Lin, Dennis K.J. (2000).
    Simultaneous Optimization of Mechanical Properties of Steel by Maximizing Exponential Desirability Functions.
    Journal of Royal Statistical Society, Ser. C (Applied Statistics), 49, 311-325.       
  3. Fang, K.T., Lin, Dennis K.J. and Ma, C.X. (2000).
    On the Construction of Multi-Level Supersaturated Designs.
    Journal of Statistical Planning and Inference, 86, 239-252.
  4. Deng, L.Y. and Lin, Dennis K.J. (2000).
    Random Number Generation for The New Century.
    The American Statisticians, 54, 145-150.
  5. Balkin, Sandy D. and Lin, Dennis K.J. (2000).
    A Neural Network Approach to Response Surface Methodology.
    A special issue of Response Surface Methodology and Related Topics of Communications in Statistics, ed. Norman R. Draper and Philip Prescott, 29, 270-281.
  6. Fang, K.T. and Lin, Dennis K.J. (2000).
    Theory and Applications of the Uniform Design.
    Journal of Chinese Statistical Association, 38(4), 331-351 (in Chinese).
  7. Chatterjee, K., Deng, L.Y. and Lin, Dennis K.J. (2000).
    Two-Level Fractional Factorial Design of Resolution V.2.
    a special issue of ICSA Applied Statistics Symposium of Communications in Statistics, 29, 1143-1154.
  8. Lin, Dennis K.J. (2000).
    Supersaturated Design: Theory and Application.
    Chapter 18 in Statistical Process Monitoring and Optimization, ed. Sung H. Park and G.G. Vining, Marcel Dekker pp. 305-319.

1999

  1. Deng, L.Y., Lin, Dennis K.J. and Wang, J.N. (1999).
    A Resolution Rank Criterion for Supersaturated Design.
    Statistica Sinica, 9, 605-610.
  2. Ma, M.C. and Lin, D.K.J. (1999).
    MaxMin MID Latin Hypercube.
    Journal of Chinese Statistical Association, 37, 53-77 (in Chinese).
  3. Yamada, Shu and Lin, Dennis K.J. (1999).
    Three-Level Supersaturated Design.
    Statistics and Probability Letters, 45, 31-39.
  4. Lin, Dennis K.J. (1999).
    Supersaturated Designs.
    entry in Encyclopedia of Statistical Science, ed. Samuel Kotz, John Wiley & Sons: New York, pp. 727-731 (1999).
  5. Lin, Dennis K.J. (1999).
    Discussion on papers by Box and Liu, Box, and Myers.
    Journal of Quality Technology, 31, 61-66.

1998

  1. Westfall, Peter H., Young, S. Stanley and Lin, Dennis K.J. (1998).
    Forward Selection Error Control in the Analysis of Supersaturated Designs.
    Statistica Sinica, 8, 101-117.
  2. Chen, J.H. and Lin, Dennis K.J. (1998).
    On Identifiability of Supersaturated Designs.
    Journal of Statistical Planning and Inference, 72, 99-107.
  3. Kim, Kwang-Jae and Lin, Dennis K.J. (1998).
    Optimizing Dual Response Systems.
    Journal of Quality Technology, 30, 1-10.
  4. Balkin, Sandy D. and Lin, Dennis K.J. (1998).
    Graphical Comparisons for Supersaturated Designs.
    Communications in Statistics, 27(6), 1289-1303.
  5. Lin, Dennis K.J. (1998).
    Spotlight Interaction Effects in ‘Main-Effect’ Plans: A Supersaturated Design Approach.
    Quality Engineering, 11(1), 133-139.
  6. Chao, Minte and Lin, Dennis K.J. (1998).
    A Journey to the Cp Index.
    Quality Control Monthly, 4, 61-65 (in Chinese).
  7. Chen, Y.S. and Lin, Dennis K.J. (1998).
    An Efficient Algorithm For Constructing One-at-A-Time 2k Plans.
    Journal of Chinese Statistical Association, 36, 361-376 (in Chinese).
  8. Deng, L.Y. and Lin, Dennis K.J. (1998).
    A Note on Morris’ Bound for Search Designs.
    Journal of Statistical Planning and Inference, 74, 203-204.
  9. Batcher, Mary, Cecco, Kevin and Lin, Dennis K.J. (1998).
    Automating a Manual Telephone Process.
    Chapter in Statistical Case Studies, ed. Roxy Peck, L.D. Haugh and A. Goodman, SIAM: Philadelphia, Chapter 3, pp. 25-35.
  10. Lin, Dennis K.J. (1998).
    Book Review of a set of three response surface book: Empirical Model Building And Response Surface by Box and Draper (1987); Response Surface Methodology by Myers and Montgomery (1995); and Response Surfaces by Khuri and Cornell (1996).
    Journal of American Statistical Association, 93, pp. 401-402.

1997

  1. Deng, L.Y., Lin, Dennis K.J., Wang, J.N. and Yuan, Y. (1997).
    Statistical Justification to the Combination Generators.
    Statistica Sinica, 7, 993-1003.
  2. Hale-Bennett, Cynthia and Lin, Dennis K.J. (1997).
    From SPC to DOE: A Case Study at Meco Inc.
    Quality Engineering, 9(3), 489-502.
  3. Yamada, Shu and Lin, Dennis K.J. (1997).
    Supersaturated Designs Including Orthogonal Base.
    Canadian Journal of Statistics, 25, 203-213.
  4. Lin, Dennis K.J. and Lam, Amy (1997).
    Connections Between Venn Diagram and Two-Level Factorial Designs.
    The American Statistician, 51, 49-51.
  5. Edgeman, Rick L and Lin, Dennis K.J. (1997).
    Sequential Analysis of an Accelerated Life Model.
    International Journal of Quality & Reliability Management, 14, 598-605.

1996

  1. Deng, L.Y., Lin, Dennis K.J. and Wang, J.N. (1996).
    A Measurement of Multi-factor Orthogonality.
    Statistics and Probability Letters, 28, 203-209.
  2. Lin, Dennis K.J., Usher, J.S. and Guess, F.M. (1996).
    Bayesian Estimation of Component-Reliability from Masked System-Life Data.
    IEEE Transactions on Reliability, 45, 233-237.
  3. Deng, L.Y., Lin, Dennis K.J. and Wang, J.N. (1996).
    Marginally Over Saturated Designs.
    Special issue of Communications in Statistics, Theory and Methods from the IMS Central Regional Meeting honoring Bob Hogg’s 70th Birthday, 25(11), 2557-2573.
  4. Draper, N.R. and Lin, Dennis K.J. (1996).
    Response Surface Designs.
    Chapter 11 in Handbook of Statistics, Volume 13, ed. Subir Ghosh and C.R. Rao, pp. 323-375, North Holland: New York.

1995

  1. Lin, Dennis K.J. (1995).
    Generating Systematic Supersaturated Designs.
    Technometrics, 37, 213-225.
  2. Lin, Dennis K.J. and Tu, Wanzhu (1995).
    Dual Response Surface Optimization.
    Journal of Quality Technology, 27, 34-39.
  3. Lin, Dennis K.J. and Draper, N.R. (1995).
    Screening Properties of Certain Two-Level Designs.
    Metrika, 42, 99-118.
  4. Guttman, Irwin and Lin, Dennis K.J. (1995).
    Robust Recursive Estimation for Correlated Observations.
    Statistics and Probability Letters, 23, 79-92.
  5. Reiser, B., Guttman, Irwin, Lin, Dennis K.J., Guess, Frank M. and Usher, John S. (1995).
    Bayesian Inference for Masked System Life Time Data.
    Journal of Royal Statistical Society, Ser. C (Applied Statistics), 44, 79-90.
  6. Wang, Y.J., Lin, Dennis K.J. and Fang, K.T. (1995).
    Designing Outer Array Points.
    Journal of Quality Technology, 27, 226-241.
  7. Draper, N.R. and Lin, Dennis K.J. (1995).
    Characterizing Projected Designs: Repeat and Mirror-Image Runs.
    Communications in Statistics, 24, 775-795.
  8. Lin, Dennis K.J. (1995).
    Identifying Defining Contrasts for 2k-p Designs.
    Journal of Chinese Statistical Association, 33, 437-444 (in Chinese).
  9. Guttman, Irwin, Lin, Dennis K.J., Reiser, B. and Usher, J.S. (1995).
    Dependent Masking and System Life Data Analysis.
    Lifetime Data Analysis, 1, 87-100.
  10. Lin, Dennis K.J. (1995).
    Letter to Editor.
    Technometrics, 37, pp. 359-360.

1994

  1. Lin, Dennis K.J. (1994).
    Making Full Use of Taguchi’s Orthogonal Arrays.
    Quality and Reliability Engineering, International, 10, 117-121.
  2. Lin, Dennis K.J. (1994).
    Half Fraction Hadamard Matrix and Its Applications in Industry.
    Journal of Chinese Statistical Association, 32, 305-320 (in Chinese).
  3. Lin, Dennis K.J. and Guess, Frank M. (1994).
    System Life Data Analysis with Dependent Partial Knowledge On the Exact Cause of System Failure.
    Microelectronics and Reliability, 34, 535-544.

1993

  1. Lin, Dennis K.J. (1993).
    A New Class of Supersaturated Designs.
    Technometrics, 35, 28-31.
  2. Lin, Dennis K.J. (1993).
    Another Look at First-order Saturated Designs: the p-efficient Designs.
    Technometrics, 35, 284-292. (Correction on Technometrics,37-4, 473).
  3. Lin, Dennis K.J. and Draper, N.R. (1993).
    Generating Alias Relationships For Two-level Plackett and Burman Designs.
    Computational Statistics and Data Analysis, 15, 147-157.
  4. Lin, Dennis K.J. and Guttman, Irwin (1993).
    Handling Spuriosity in the Kalman Filter.
    Statistics and Probability Letters, 16, 259-268.
  5. Draper, N.R. and Lin, Dennis K.J. (1993).
    No Free Lunch: Comments on Silver (1991-1992).
    Quality Engineering, 5(3), 369-373.
  6. Lin, Dennis K.J., Usher, J.S. and Guess F.M. (1993).
    Exact Maximum Likelihood Estimation Using Masked System Data.
    IEEE Transactions on Reliability, 42, 631-635.

1990-1992

  1. Lin, Dennis K.J. and Draper, N.R. (1992).
    Projection Properties of Plackett and Burman Designs.
    Technometrics, 34, 423-428.
  2. Chen, J.H. and Lin, Dennis K.J. (1991).
    On the Identity Relationships of 2k-p Designs.
    Journal of Statistical Planning and Inference, 28, 95-98.
  3. Draper, N.R. and Lin, Dennis K.J. (1990).
    Small Response Surface Designs.
    Technometrics, 32, 187-194.
  4. Draper, N.R. and Lin, Dennis K.J. (1990).
    Connections Between Two-level Designs of Resolution III* and V.
    Technometrics, 32, 283-288.
  5. Draper, N.R. and Lin, Dennis K.J. (1990).
    Capacity Considerations for Two-level Fractional Factorial Designs.
    Journal of Statistical Planning and Inference, 24, 25-35.

B. Manuscripts Submitted

  1. “Mixture Design and Analysis of Computer Experiments for Refinery Reactor Optimization,” revised for Journal of Royal Statistical Society, Ser-C (with Coetzer, R.L.J., Maree, C. and Rossouw, R.F.).
  2. “Monitoring Profile Data via Robust Functional Principal Component Analysis,” submitted to Statistics and Probability Letters (with Zhang, X.K.)
  3. “An SPC Implementation on Wave Profiles When No Gold Standard Profile is Available,” revised for European Journal of Operation Research (with Chang, S.I., Tsai, T.R., Chou, S-H, and Lin, Y-S)
  4. “Discover Incomplete Concurrence Relation in Process Mining,” submitted to Data Mining & Knowledge Discovery (with Li, T. and Bai, F.S.).
  5. “Identifiability for Association Rules Analysis,” submitted to Expert Systems and Its Applications (with Changpetch, Pannapa).
  6. “Efficient Experimental Designs When the Factor Levels Are Hard to Control,” submitted to Technometrics (with Coetzer, R.L.J. and Engelbreeht, J.P.)
  7. “Searching Probabilities for Nonzero Interactions in Multi-Level Search Designs,” revised for Journal of Statistical Planning & Inference (with Angshuman, S. and Chatterjee, K.)
  8. Lin, Dennis K.J., Peng, Liang, and Thomas, Douglas J. “Asymptotic behavior and Estimation of Fill Rate for a Single-Stage Inventory System,” submitted to Operation Research Letters.
  9. Wang, Wei and Lin, Dennis K.J. “Another Look at Run Length Distribution,” revised for Statistica Sinica.
  10. He, Yingdong, He, Z., Lin, Dennis K.J. and Kim, K.J. “Multiple Response Surface Optimization: Robust Triangular Fuzzy Desirability Function Approach,” submitted to Technometrics.
  11. Liu, Haiyan, Sun, Fasheng, Lin, Dennis K.J., and Liu, M.Q., “On construction of mappable nearly orthogonal Arrays,” submitted to Annals of Statistics.
  12. Wang, Zhenghong and Lin, Dennis K.J., Fold-over Plan for Uniform Designs,” submitted to Journal of Statistical Planning and Inference.
  13. Zhao, Yuna, Lin, Dennis K.J. and Liu, M.Q., “Minimal-Point Design for Order of Addition Experiment,” submitted to Journal of Statistical Planning and Inference.
  14. Chen, H., Yang, J.Y., Lin, Dennis K.J., and Liu, M.Q. “Double-Layer Sliced Latin Hypercube Designs,” submitted to Statistics and Probability Letters.
  15. Yang, Ching-Chi and Lin, Dennis K.J., “Selection of Basis Quantities for Dimensional Analysis: A data-Driven Approach,” submitted to Journal of Quality Technology.
  16. Peng, J.Y. and Lin, Dennis K.J., “Small Screening Design When the Overall Variance is Unknown,” revised for Journal of Statistical Planning and Inference.
  17. Peng, J.Y., Mukerjee, Rahul and Lin, Dennis K.J., “Design of Order-of-Addition Experiments,” revised for Biometrika.
  18. Zhou, X.J. and Lin, Dennis K.J. “Sequential Latin Hypercube Design with Both Space-filling and Projective Properties,” revised for Quality & Reliability Engineering.
  19. Quinlan, Kevin R. and Lin, Dennis K.J., “The Construction of -Bad Covering Arrays.” Submitted to Journal of Combinatorial Design.
  20. Yang, Zebin; Zhang, Aijun, and Lin, Dennis K.J. “Interval-valued Data Prediction via Regularized Artificial Neural Network,” submitted to Computational Statistics and Data Analysis.

C. Book Chapter, Book Review and Letter to Editor

  1. Winker, Peter, Chen, Jiabin and Lin, Dennis K.J. (2020) “The construction of optimal design for order-of-addition experiment via threshold accepting,” Book Chapter in Honor of KT Fang’s 80th Birthday.
  2. Jordan, J.J. and Lin, Dennis K.J. (2016), “Statistics, Statisticians, and the Internet of Things,” Handbook of Big Data Analytics.
  3. Lin, Dennis K.J. (2016), Book Review on Theory of Factorial Design: Single- and Multi-Stratum Experiments By C.S. Cheng, Journal of American Statistical Association, 111, 918-919.
  4. Liu, Y., Zhu, J.J., and Lin, Dennis K.J. (2016) “A Generalized Likelihood Ratio Test for Phase II Monitoring of Profile Data” Proceeding of ISQC Conference.
  5. Lin, Dennis K.J. and Yeh, A.B. “Multivariate Control Charts for Dispersion,” Encyclopedia of Statistics in Quality and Reliability, Wiley: New York, forthcoming.
  6. McGrath, R.N. and Lin, Dennis K.J. “Aliasing in Fractional Designs,” Encyclopedia of Statistics in Quality and Reliability, Wiley: New York, forthcoming.
  7. McGrath, R.N. and Lin, Dennis K.J. “Quality by Design for Pharmaceutical Industry,” Chapter 410, forthcoming.
  8. Wei, Y. and Lin, Dennis, K.J.,(2011), “Control Charts for Functional Data.”
  9. Jordan, J.J. and Lin, Dennis K.J. (2014), “Statistics for Big Data: Are Statisticians Ready for Big Data?” ICSA-Bulletin, 26, 59-66.
  10. Lin, Dennis K.J. (2010), “Preface” for the book DPS Data Management System by Qiyi Tang ( in Chinese).
  11. Fang, K.T. and Lin, Dennis K.J. (2008),“Uniform Design in Computer and Physical Experiments,” The Grammar of Technology Development, ed. Shu Yamada, pp.105-125.
  12. Peterson, J.J. and Lin, Dennis K.J. (2006), “Statistical Inference for Response Surface Optima,” Response Surface Methodology and Related Topics, ed. Andre I. Khuri, Chapter 4, pp.63-88, World Scientific:Washington DC..
  13. Lin, Dennis K.J. (2006), Book Review on Statistics for Experimenters: Design, Innovation, and Discovery (Second Edition) By George E.P. Box, J. Stuart Hunter and William G. Hunter, Journal of Quality Technology, 38, 78-80.
  14. (13) Lin, Dennis K.J. (2006), “Editorials,” Applied Stochastic Models in Business and Industry, 22, 397-400.
  15. Beattie, S.D. and Lin, Dennis K.J. (2005), “A New Class of Latin Hypercube for Computer Experiments,” Contemporary Multivariate Analysis and Experimental Designs—In Celebration of Professor Kai-Tai Fang’s 65th birthday, pp. 205-226, ed. Jianqing Fan and Gang Li, The World Scientific Publisher.
  16. Lin, Dennis K.J. (2003), “Industrial Experimentation for Screening,” Handbook of Statistics in Industry, Chapter 2, pp.33-73, Volume 22, ed. C.R. Rao and R. Khattree, North Holland: New York.
  17. Fang, K.T. and Lin, Dennis K.J. (2003), “Uniform Experimental Design and Its Applications in Industry,” Handbook of Statistics in Industry, Chapter 4, pp. 131-170, Volume 22, ed. C.R. Rao and R. Khattree, North Holland: New York.
  18. “Dennis’s Column” in China Statistics (special invited articles, from July to December, 2002, in Chinese): Statistical Data Mining in Taiwan (July issue); Words and Numbers (August issue); Statistical Thinking: Old and New (September issue); Lost in Massive Datasets (October issue); From Titanic Data to Statistical Report (November issue); The Next Generation & Statistics (December issue).
  19. “Supersaturated Design: Theory and Application,” Chapter 18 in Statistical Process Monitoring and Optimization, ed. Sung H. Park and G.G. Vining, Marcel Dekker (2000).
  20. “Supersaturated Designs,” entry in Encyclopedia of Statistical Science, ed. Samuel Kotz, John Wiley & Sons: New York, pp.727-731 (1999).
  21. Discussion on papers by Box and Liu, Box, and Myers (1999), Journal of Quality Technology, 31, 61-66.
  22. “Automating a Manual Telephone Process,” Chapter in Statistical Case Studies, ed. Roxy Peck, L.D. Haugh and A. Goodman, SIAM: Philadelphia (Chapter 3, pp. 25-35, 1998, with Mary Batcher and Kevin Cecco).
  23. Book Review of a set of three response surface book: Empirical Model Building And Response Surface by Box and Draper (1987); Response Surface Methodology by Myers and Montgomery (1995); and Response Surfaces by Khuri and Cornell (1996), Journal of American Statistical Association, 93, pp. 401-402 (March, 1998).
  24. “Response Surface Designs,” Chapter 11 in Handbook of Statistics, Volume 13, ed. Subir Ghosh and C.R. Rao, pp. 323-375, North Holland: New York (1996, with Norman R. Draper).
  25. Letter to Editor, Technometrics, 37, pp. 359-360 (1995).

D. Invited Papers in Conference Proceedings

  1. “RFID: Technology and Impact on Supply Chain,” College of Engineering Research Symposium (2007, with V. Wadhwa).
  2. “Uniform Design in Computer and Physical Experiments,” Proceedings of the International Workshop on The Grammar of Technology Development, Tokyo, Japan (2005, with K.T. Fang).
  3. “Determining the Relative Weights of Bias and Variance in Dual Response Surface Optimization,” Proceedings of the Joint Conference of Korean Institute of Industrial Engineers and Korean Operations Research and Management Science Society, Jeonju, Korea (2004, with I. Jeong, K.J. Kim and S. Chang).
  4. “Recent Advances in Designing Industrial Experimentation,” Proceedings of 4th Triennial Symposium (2000, Calcutta, India; published in 2002).
  5. “Recent Advances in Uniform Design,” Proceedings of the First International India Statistical Association Joint Statistical Meetings, pp. 275-280 (2000, Delhi, India).
  6. “Location And Dispersion Effects Inference in Unreplicated Fractional Factorial Designs,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association, pp. 56-61 (1999, with Richard N. McGrath).
  7. “Construction of Mixed-Level Supersaturated Designs,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association (1998, with Shu Yamada).
  8. “Simultaneous Optimization of Multiple Responses,” Proceedings of the 1998 Korean Institute of Industrial Engineers Conference (1998, with K.J. Kim).
  9. “Rotated Factorial Designs for Computer Experiments,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association (1997, with Scott D. Beattie).
  10. “Recent Advances in Supersaturated Designs,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association, pp. 1-7 (1996).
  11. “Criteria for Supersaturated Designs,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association, pp.124-128 (1994, with L.Y. Deng).
  12. “Collaborative Research: Pitfalls and Benefits for the Statisticians,” Proceedings of the Making Statistics More Effective in Schools of Business Conference, Minneapolis, MN (1993).
  13. “Projection Properties of the 12-Run Plackett and Burman Design,” Proceedings of the Section on Physical & Engineering Sciences, American Statistical Association, pp. 33-38 (1992, with Norman Draper).
  14. “Censoring on the Cause of System Failure,” Proceedings of the Fourth International Research Conference on Reliability, Columbia, MO (1991, with E. Unpublished Consulting ReportsFrank M. Guess)

E. Unpublished Consulting Reports

  1. “Search Engine and Optimal List Ranking: Review, Managerial Implication and Future Study,” (in Chinese, with Lin, C.F.).
  2. “RFID: Technology, Applications and Impact in Supply Chain Management,” (with Shu, J. and Wadhwa, V.).
  3. “Organization Determinants of Motor Carrier Safety: An Association Approach,” (with Cantor, D.E. and Wadhwa, V.).
  4. “Analysis of Evolving Graphs with Directed and Multiple Edges,” (with An-Yi Chen).
  5. “Analysis of Evolutionary Graph: A Time Series Approach,” (with Chen, An-Yi).
  6. “Kernel Density Estimation with Stereographic Projection Transformation and Its Pointwise Convergence Rate,” submitted to Statistica Sinica (with Zhao, Ying and Yang, ZhenHai).
  7. “A Deterministic Algorithm that Guarantees an Acceptable Nonlinear Modeling Solution,” (with Ray Tsaih and Wenchyan Ken).
  8. “The Determination of Minimum Support and Confidence in Market Basket Analysis,” (with G.S.C. Chen).
  9. “Constructing Efficient First-Order Saturated Designs Using Simulated Annealing,” (with D.C. Myers and A.B. Yeh).
  10. “Construction of Trend Free and Minimum Number of Level Changes Designs: A Graph Theoretical Approach,” (with M.L. Aggarwal and Veena Budhraja).
  11. “Study on Optimal Budget Allocation,” (2004, ed. by Dennis Lin).
  12. “Regional and Gender Effects in Wage Analysis,” Bureau of Census, Taiwan (1997, with An Ou-Yang).
  13. “An Evaluation of the Uninterruptible Power Systems’ Market Price,” (1997, with An Ou- Yang).
  14. “Optimizing Subject-Based Experimental Efficiency with Foldover Fractional Factorial Designs,” (1995, with Timothy D. West).
  15. “Manual for the ASA Quality and Productivity Research Conference,” (1994, with Veronica Czitrom; John Heitman; Jeff Hooper (Chair); Ramon Leon and Nick Zaino).
  16. “Optimal Representative Points via Quantizer,” (1993, with Y.J. Wang and K.T. Fang).
  17. “Sequential Sampling Analysis Method,” Report to U.S. Department of Labor, (1991).
  18. “A Critical Look at Taguchi’s Methods,” Lecture notes for Experimental Design Institute for Productivity Through Quality, Management Development Center, The University of Tennessee (1990).