Advances in Statistical Decision Theory and Applications Book

	Preface
	Shanti S. Gupta - Life and Works
	List of Contributors
	List of Tables
	List of Figures
1	Bayes for Beginners? Some Pedagogical Questions	3
2	Normal Means Revisited	19
3	Bayes m-Truncated Sampling Allocations for Selecting the Best Bernoulli Population	31
4	On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions	49
5	Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters	65
6	Empirical Bayes Rules for Selecting the Best Uniform Populations	79
7	Adaptive Multiple Decision Procedures for Exponential Families	99
8	Non-Informative Priors Via Sieves and Packing Numbers	119
9	From Neyman's Frequentism to the Frequency Validity in the Conditional Inference	135
10	Asymptotic Theory for the Simex Estimator in Measurement Error Models	151
11	A Change Point Problem for Some Conditional Functionals	165
12	On Bias Reduction Methods in Nonparametric Regression Estimation	179
13	Multiple Comparisons With the Mean	189
14	Properties of Unified Bayesian-Frequentist Tests	207
15	Likelihood Ratio Tests and Intersection-Union Tests	225
16	The Large Deviation Principle for Common Statistical Tests Against a Contaminated Normal	239
17	Multiple Decision Procedures for Testing Homogeneity of Normal Means With Unequal Unknown Variances	253
18	A Sequential Multinomial Selection Procedure With Elimination	265
19	An Integrated Formulation for Selecting the Best From Several Normal Populations in Terms of the Absolute Values of Their Means: Common Known Variance Case	277
20	Applications of Two Majorization Inequalities to Ranking and Selection Problems	291
21	Correlation Analysis of Ordered Observations From a Blocked-Equicorrelated Multivariate Normal Distribution	305
22	On Distributions With Periodic Failure Rate and Related Inference Problems	323
23	Venn Diagrams, Coupon Collections, Bingo Games and Dirichlet Distributions	343
24	Control Charts of Autocorrelated Process Data	371
25	Reconstructive Estimation in a Parametric Random Censorship Model With Incomplete Data	387
26	A Review of the Gupta-Sobel Subset Selection Rule for Binomial Populations with Industrial Applications	405
27	The Use of Subset Selection in Combined-Array Experiments to Determine Optimal Product or Process Designs	417
28	Large-Sample Approximations to Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications	431
	Subject Index	445