1992 Technical Reports

For full reports, please contact Statistics Department at (765) 494-6030.

1. D. V. Lindley, J. J. Deely. Optimal Allocation in Stratified Sampling with Partial Information. 

2. D. N. Politis. Markov Chains in Many Dimensions. 

3. C. Gu. Smoothing Spline Density Estimation Under Biased Sampling. 

4. See #94-20.

5. J. O. Berger, D. Sun. Bayesian Analysis for the Poly-Weibull Distribution. 

6. J. Jacod, P. Protter. A Remark on the Weak Convergence of Processes in the Skorohod Topology. 

7. C: N. Balakrishnan, S. S. Gupta. Higher Order Moments of Order Statistics from Exponential and Right-truncated Exponential Distributions and Applications to Life-testing Problems. 

8. S. P. Lalley. Self-Intersections of Closed Geodesics on a Negatively Curved Surface: Statistical Regularities. 

9. S.-Y. C. Huang, W. J. Studden. An Equivalent Kernel Method for Least Squares Spline Regression. 

10. D. N. Politis. An Information Theoretic Proof of the Maximum Entropy Spectrum in n Dimensions.

11. C: D. Sun, J. O. Berger. Recent Developments in Bayesian Sequential Reliability Demonstration Testing. 

12. C: S. S. Gupta, T.-C. Liang, R.-B. Rau. Empirical Bayes Two-Stage Procedures for Selecting the Best Bernoulli Population Compared with a Control. 

13. D. N. Politis. On the Maximum Entropy Problem with Autocorrelations Specified on a Lattice.

14. W. L. Loh. Estimating the Mixing Density of a Mixture of Power Series Distributions.

15. C: S. S. Gupta, S. Panchapakesan. Selection and Screening Procedures in Multivariate Analysis.

16. S. P. Lalley, D. Gatzouras. The Box Counting Dimension of a Class of Statistically Self-Affine Fractals. (This paper has been replaced by 92-35.)

17. C: X. Xiong. Absorption Probabilities of Random Paths From Dichotomous Populations. 

18. M.-H. Chen, B. Schmeiser. Performance of the Gibbs, Hit-and-Run, and Metropolis Samplers. 

19. B. Davis, B. Zhang. Moments of the Lifetime of Conditioned Brownian Motion in Cones. 

20. C: A. DasGupta, S. Mukhopadhyay. Uniform and Subuniform Posterior Robustness: The Sample Size Problem.

21. M. H. Chen, J. Deely. Application of a New Gibbs Hit-and-Run Sampler to a Constrained Linear Multiple Regression Problem. 

22. M. H. Chen. Importance Weighted Marginal Bayesian Posterior Density Estimation. 

23. B. Vidakovic, A. DasGupta. Efficiency of Linear Rules for Estimating a Bounded Normal Mean.

24. A. Kanniganti, S. P. Lalley. The Frontier of a Branching Brownian Motion with Killing. 

25. C. Gu. Penalized Likelihood Hazard Estimation: Algorithm and Examples.

26. D. N. Politis, J. P. Romano. Nonparametric Resampling for Homogeneous Strong Mixing Fields. 

27. H. Dette, W. J. Studden. A Geometric Solution of the Bayesian E-Optimal Design Problem. 

28. C: T. Gastaldi, S. S. Gupta. Minimax Type Procedures for Nonparametric Selection of the "Best" Population with Partially Classified Data. (This paper has been replaced by 94-9C.)

29. M. L. Samuels. A Pitfall in Linear Models: The Misuse of "Sequential" F Statistics. 

30. A. Kohatsu-Higa. Reflecting Stochastic Differential Equations with Jumps. 

31. H. Dette, B. Heiligers, W. J. Studden. Minimax Designs in Linear Regression Models.

32. J. A. León, P. Protter. Some Formulas for Anticipative Girsanov Transformations. 

33. C: J. Berger. The Present and Future of Bayesian Multivariate Analysis. 

34. A. DasGupta. Distributions Which are Gaussian Convolutions. 

35. D. Gatzouras, S. P. Lalley. Statistically Self-Affine Sets: Hausdorff and Box Dimensions.

36. D. Politis, J. P. Romano. A General Theory for Large Sample Confidence Regions Based on Subsamples Under Minimal Assumptions. 

37. J. K. Ghosh, S. Ghoshal, T. Samanta. Stability and Convergence of Posterior in Non-Regular Problem. 

38. B. Vidakovic, A. DasGupta. Lower Bounds on Bayes Risks for Estimating a Normal Variance: with Applications. 

39. T. M. Sellke. A "Triple Birthday Problem" with an Application to Time to Failure in Latin Square Generation. 

40. S. Basu, A. DasGupta. The Mean, Median and Mode of Unimodal Distributions: A Characterization. 

41. C: X. Xiong. Absorption Probability Distributions of Random Paths from Finite Populations. 

42. W. L. Loh. On M-Dependence and Edgeworth Expansions. 

43. C: M. J. Bayarri, J. O. Berger. Robust Bayesian Bounds for Outlier Detection. 

44. J. O. Berger, Ming-Hui Chen. Predicting Retirement Patterns: Prediction for a Multinomial Distribution with Constrained Parameter Space.

45. C: J. O. Berger, R-y. Yang. Noninformative Priors and Bayesian Testing for the AR(1) Model. 

46. C: S. Sivaganesan, L. M. Berliner, J. O. Berger. Optimal Robust Credible Sets for Contaminated Priors. 

47. T. Sellke. How Many IID Samples Does It Take to See All the Balls in a Box? 

48. C: G. Li, H. Doss. Generalized Pearson-Fisher Chi-Square Goodness-of-Fit Tests, with Applications to Models with Life History Data. 

49. D. N. Politis, J. P. Romano. Limit Theorems for Weakly Dependent Hilbert Space Valued Random Variables with Application to the Stationary Bootstrap. 

50. D. N. Politis, J. P. Romano. Bias-Corrected Nonparametric Spectral Estimation. 

51. T. Sellke, J. Overdeck. How Many Geometric (p) Samples Does it Take to see all the Balls in a Box?

52. C: J. Berger, E. Moreno. Bayesian Robustness in Bidimensional Models: Prior Independence.

53. D. N. Politis, J. P. Romano. On a Smoothing Kernel of Infinite Order.

54. This number was not assigned.

55. H. Dette, W. J. Studden. Optimal Designs with Respect to Elfving's Partial Minimax Criterion in Polynomial Regression.