Statistical Decision Theory and Related Topics - 1st Edition - ISBN: 9780123075604, 9781483260310

Statistical Decision Theory and Related Topics

1st Edition

Proceedings of a Symposium Held at Purdue University, May 17-19, 1976

Editors: Shanti S. Gupta David S. Moore
eBook ISBN: 9781483260310
Imprint: Academic Press
Published Date: 28th January 1977
Page Count: 492
Tax/VAT will be calculated at check-out Price includes VAT (GST)
30% off
30% off
30% off
30% off
30% off
20% off
20% off
30% off
30% off
30% off
30% off
30% off
20% off
20% off
30% off
30% off
30% off
30% off
30% off
20% off
20% off
72.95
51.06
51.06
51.06
51.06
51.06
58.36
58.36
54.95
38.47
38.47
38.47
38.47
38.47
43.96
43.96
43.99
30.79
30.79
30.79
30.79
30.79
35.19
35.19
Unavailable
Price includes VAT (GST)
× DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

Statistical Decision Theory and Related Topics II is a compendium of papers presented at an international symposium on Statistical Decision Theory and Related Topics held at Purdue University in May, 1976. The researchers invited to participate, and to author papers for this volume, are among the leaders in the field of Statistical Decision Theory. This collection features works on general decision theory, multiple decision theory, optimal experimental design, and robustness. Mathematicians and statisticians will find the book highly insightful and informative.

Table of Contents


Contributors to the Symposium

Preface

Selecting the Largest Interaction in a Two-Factor Experiment (62F07, 62K15)

Improved Minimax Estimators of Normal Mean Vectors for Certain Types of Covariance Matrices (62C99,62F10)

On Selecting a Subset of Good Populations (62F07, 62A05)

Closure Theorems for Sequential-Design Processes (62C05, 62L05)

A Subset Selection Problem Employing a New Criterion (62F07,62C10)

Examples Relevant to the Robustness of Applied Inferences (62G35, 62A15)

On Some Γ-Minimax Selection and Multiple Comparison Procedures (62F07,62E99)

More on Incomplete and Boundedly Complete Families of Distributions (62G05, 62A05)

Robust Covariances (62G35, 62H99)

Asymptotically Minimax Estimation of Concave and Convex Distribution Functions, II (62G05, 62E20)

Sequential Decision about a Normal Mean (62L10)

A Reduction Theorem for Certain Sequential Experiments (62L05, 62G40)

Robust Designs for Regression Problems (62K05, 62G35)

Large Sample Properties of Nearest Neighbor Density Function Estimators (62G05, 62E20)

A Stochastic Version of Weak Majorization, with Applications (26A51, 62H99)

Synergistic Effects and the Corresponding Optimal Version of the Multiple Comparison Problem

Estimating Covariances in a Multivariate Normal Distribution (62F10, 62C15)

Simultaneous Estimation of Parameters—A Compound Decision Problem (62F10)

Robust Bayesian Estimation (62A15, 62G35)

The Dirichlet-Type 1 Integral and Its Applications to Multinomial-Related Problems (33A70, 62E15)

Optimal Search Designs, or Designs Optimal under Bias Free Optimality Criteria (62K05)

Optimal Designs for Integrated Variance in Polynomial Regression (62K05)

Asymptotic Expansions for the Distribution Functions of Linear Combinations of Order Statistics (62F99, 62G30)

Asymptotic Properties of Bayes Tests of Nonparametric Hypotheses (62E20, 62G30)

Obstructive Distributions in a Sequential Rank-Order Test Based on Lehmann Alternatives (62L10, 62G10)

Optimum Designs for Finite Populations Sampling (62K05, 62D05)

Details

No. of pages:
492
Language:
English
Copyright:
© Academic Press 1977
Published:
Imprint:
Academic Press
eBook ISBN:
9781483260310

About the Editor

Shanti S. Gupta

David S. Moore