9781461283652-1461283655-Statistical Decision Theory and Related Topics IV: Volume 2

Statistical Decision Theory and Related Topics IV: Volume 2

ISBN-13: 9781461283652
ISBN-10: 1461283655
Edition: Softcover reprint of the original 1st ed. 1988
Author: Shanti S. Gupta, James O. Berger
Publication date: 2011
Publisher: Springer
Format: Paperback 415 pages
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Book details

ISBN-13: 9781461283652
ISBN-10: 1461283655
Edition: Softcover reprint of the original 1st ed. 1988
Author: Shanti S. Gupta, James O. Berger
Publication date: 2011
Publisher: Springer
Format: Paperback 415 pages

Summary

Statistical Decision Theory and Related Topics IV: Volume 2 (ISBN-13: 9781461283652 and ISBN-10: 1461283655), written by authors Shanti S. Gupta, James O. Berger, was published by Springer in 2011. With an overall rating of 4.4 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Statistical Decision Theory and Related Topics IV: Volume 2 (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The Fourth Purdue Symposium on Statistical Decision Theory and Related Topics was held at Purdue University during the period June 15-20, 1986. The symposium brought together many prominent leaders and younger researchers in statistical decision theory and related areas. The 65 invited papers and discussions presented at the symposium are collected in this two-volume work. The papers are grouped into a total of seven parts. Volume I has three parts: Part 1 -Conditioning and Likelihood; Part 2 -Bayes and Empirical Bayes Analysis; and Part 3 -Decision Theoretic Estimation. Part 1 contains the proceedings of a Workshop on Conditioning, which was held during the symposium. Most of the articles in Volume I involve either conditioning or Bayesian ideas, resulting in a volume of considerable interest to conditionalists and Bayesians as well as to decision-theorists. Volume II has four parts: Part 1 -Selection, Ranking, and Multiple Com parisons; Part 2 -Asymptotic and Sequential Analysis; Part 3 -Estimation and Testing; and Part 4 -Design and Comparison of Experiments and Distributions. These articles encompass the leading edge of much current research in math ematical statistics, with decision theory, of course, receiving special emphasis. It should be noted that the papers in these two volumes are by no means all theoretical; many are applied in nature or are creative review papers.
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