Advances in Statistical Decision Theory and Applications

Author:   S. Panchapakesan ,  N. Balakrishnan
Publisher:   Birkhauser Boston Inc
Edition:   1997 ed.
ISBN:  

9780817639655


Pages:   498
Publication Date:   23 September 1997
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Advances in Statistical Decision Theory and Applications


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Author:   S. Panchapakesan ,  N. Balakrishnan
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   1997 ed.
Weight:   1.070kg
ISBN:  

9780817639655


ISBN 10:   0817639659
Pages:   498
Publication Date:   23 September 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

I: Bayesian Inference.- 1 Bayes for Beginners? Some Pedagogical Questions.- 2 Normal Means Revisited.- 3 Bayes m-Truncated Sampling Allocations for Selecting the Best Bernoulli Population.- 4 On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions.- 5 Convergence Rates of Empirical Bayes Estimation and Selection for Exponential Populations With Location Parameters.- 6 Empirical Bayes Rules for Selecting the Best Uniform Populations.- II: Decision Theory.- 7 Adaptive Multiple Decision Procedures for Exponential Families.- 8 Non-Informative Priors Via Sieves and Packing Numbers.- III: Point And Interval Estimation—Classical Approach.- 9 From Neyman’s Frequentism to the Frequency Validity in the Conditional Inference.- 10 Asymptotic Theory for the Simex Estimator in Measurement Error Models.- 11 A Change Point Problem for Some Conditional Functionals.- 12 On Bias Reduction Methods in Nonparametric Regression Estimation.- 13 Multiple Comparisons With the Mean.- IV: Tests Of Hypotheses.- 14 Properties of Unified Bayesian-Frequentist Tests.- 15 Likelihood Ratio Tests and Intersection-Union Tests.- 16 The Large Deviation Principle for Common Statistical Tests Against a Contaminated Normal.- 17 Multiple Decision Procedures for Testing Homogeneity of Normal Means With Unequal Unknown Variances.- V: Ranking and Selection.- 18 A Sequential Multinomial Selection Procedure With Elimination.- 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.- 20 Applications of Two Majorization Inequalities to Ranking and Selection Problems.- VI: Distributions AND Applications.- 21 Correlation Analysis of Ordered Observations From aBlock-Equicorrelated Multivariate Normal Distribution.- 22 On Distributions With Periodic Failure Rate and Related Inference Problems.- 23 Venn Diagrams, Coupon Collections, Bingo Games and Dirichlet Distributions.- VII: Industrial Applications.- 24 Control Charts for Autocorrelated Process Data.- 25 Reconstructive Estimation in a Parametric Random Censorship Model With Incomplete Data.- 26 A Review of the Gupta-Sobel Subset Selection Rule for Binomial Populations With Industrial Applications.- 27 The Use of Subset Selection in Combined-Array Experiments to Determine Optimal Product or Process Designs.- 28 Large-Sample Approximations to Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications.

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