1979 Technical Reports - Department of Statistics - Purdue University Skip to main content

1979 Technical Reports

For full reports, please contact Statistics Department at (765) 494-6030.
  1. K. J. Miescke. Γ-minimax selection procedures in simultaneous testing problems. 

  2. W. J. Studden. DS-optimal designs for polynomial regression using continued fractions.

  3. J. F. Bjørnstad. Comparisons of three minimax subset selection procedures. 

  4. W. J. Studden. On a problem of Chebyshev. 

  5. P. Protter. An extension of Kazamaki's results on BMO differentials. 

  6. S. S. Gupta, K. J. Miescke. On the least favorable configurations in certain two-stage selection procedures. 

  7. W. C. Kim. On Bayes and gamma-minimax subset selection rules. 

  8. W. Notz. Minimal point second order designs. 

  9. J. Albert. Robust Bayes estimation. 

  10. S. S. Gupta, W. C. Kim. Γ-Minimax and minimax decision rules for comparison of treatments with a control. 

  11. W. Notz. Robust designs for nearly linear regression. 

  12. L. J. Gleser. Improved point estimators of the slopes in multivariate linear regression with unknown covariance matrix. (Paper was withdrawn)

  13. B. L. S. P. Rao, H. Rubin. Asymptotic theory for process least squares estimators for diffusion processes. 

  14. J. T. Hwang. Improving upon inadmissible estimators in discrete exponential families.

  15. R. A. Sundheim. Asymptotically optimal multiparameter sequential Bayes regional estimation procedures. 

  16. P. Hsiao. Some contributions to gamma-minimax and empirical Bayes selection procedures. 

  17. G. G. Agarwal, W. J. Studden. Asymptotic integrated mean square error using least squares and bias minimizing splines. 

  18. B. L. S. P. Rao. Asymptotic behavior of M-estimators for the linear model with dependent errors. 

  19. W. Notz. Saturated designs for multivariate cubic regression.

  20. S. M. Samuels, J. M. Steele. Optimal sequential selection of a monotone sequence from a random sample. Published in the Annals of Probability, Vol. 9, pp. 937-947, 1981.
  21. S. M. Samuels. Minimax stopping rules when the underlying distribution is uniform. Published in the Journal of the American Statistical Association, Vol. 76, pp. 188-197, 1981.

  22. S. S. Gupta, W. T. Huang. On mixtures of distributions: A survey and some new results on ranking and selection. 

  23. A. Rukhin. The solution of functional equation of the D'Alembert's type for commutative groups. 

  24. M. E. Bock, G. G. Judge. Some non-traditional minimax and sometimes admissible estimators. 

  25. G. Campbell. Nonparametric bivariate estimation with randomly censored data. 

  26. S. S. Gupta, D. Y. Huang. Some recent developments in multiple decision theory: A brief overview. 

  27. P. S. Puri. Point processes with order statistic property, mixtures of Poisson processes and mixtures of linear death processes. 

  28. J. F. Bjørnstad. A decision-theoretic approach to subset selection. 

  29. K. J. Miescke, J. Sehr. On a conjecture concerning least favorable configurations in certain two-stage selection procedures. 

  30. See #80-15.

  31. C. Spiegelman, W. J. Studden. Design aspects of Scheffe's calibration theory using linear splines. 

  32. J. F. Bjørnstad. On the probability of correct selection in the subset selection problem. 

  33. J. O. Berger. A modification of Brown's technique for proving inadmissibility. 

Purdue Department of Statistics, 150 N. University St, West Lafayette, IN 47907

Phone: (765) 494-6030, Fax: (765) 494-0558

© 2025 Purdue University | An equal access/equal opportunity university | Copyright Complaints | DOE Degree Scorecards | Accessibility