Advances in Statistical Decision Theory and Applications

1. Front Matter

   Pages i-l

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2. Bayesian Inference

   1. Front Matter

      Pages 1-1

      PDF

   2. Bayes for Beginners? Some Pedagogical Questions

      • David S. Moore

      Pages 3-17

   3. Normal Means Revisited

      • John Deely, Wes Johnson

      Pages 19-30

   4. Bayes m-Truncated Sampling Allocations for Selecting the Best Bernoulli Population

      • Klaus J. Miescke, Henry Park

      Pages 31-47

   5. On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions

      • TaChen Liang

      Pages 49-64

   6. Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters

      • N. Balakrishnan, Yimin Ma

      Pages 65-77

   7. Empirical Bayes Rules for Selecting the Best Uniform Populations

      • Wen-Tao Huang, TaChen Liang

      Pages 79-96

3. Decision Theory

   1. Front Matter

      Pages 97-97

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   2. Adaptive Multiple Decision Procedures for Exponential Families

      • Andrew L. Rukhin

      Pages 99-118

   3. Non-Informative Priors Via Sieves and Packing Numbers

      • S. Ghosal, J. K. Ghosh, R. V. Ramamoorthi

      Pages 119-132

4. Point and Interval Estimation—Classical Approach

   1. Front Matter

      Pages 133-133

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   2. From Neyman’s Frequentism to the Frequency Validity in the Conditional Inference

      • J. T. Gene Hwang

      Pages 135-150

   3. Asymptotic Theory for the Simex Estimator in Measurement Error Models

      • Raymond J. Carroll, L. A. Stefanski

      Pages 151-164

   4. A Change Point Problem for Some Conditional Functionals

      • Pranab K. Sen, Zhenwei Zhou

      Pages 165-178

   5. On Bias Reduction Methods in Nonparametric Regression Estimation

      • W. C. Kim, B. U. Park, K. H. Kang

      Pages 179-187

   6. Multiple Comparisons With the Mean

      • Kathleen S. Fritsch, Jason C. Hsu

      Pages 189-204

5. Tests of Hypotheses

   1. Front Matter

      Pages 205-205

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   2. Properties of Unified Bayesian-Frequentist Tests

      • J. O. Berger, B. Boukai, Y. Wang

      Pages 207-223

   3. Likelihood Ratio Tests and Intersection-Union Tests

      • Roger L. Berger

      Pages 225-237

Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.

• Derivation
• Finite
• Logistic Regression
• Mathematics
• Methodology
• Normal distribution
• Random variable
• Regression
• Variable
• Variance
• calculus
• correlation
• function
• model

• Department of Math, Southern Illinois University, Carbondale, USA

  S. Panchapakesan

• Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

  N. Balakrishnan

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