Statistical decision theory : estimation, testing, and selection / Friedrich Liese, Klaus-J. Miescke.
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Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.542 LIS 2008 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.542 LIS 2008 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26616 |
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519.542 BOI 2007 Introduction to Bayesian statistics / | 519.542 COA 2014 Applied Bayesian modelling / | 519.542 LEB 2012 Bayesian statistics : | 519.542 LIS 2008 Statistical decision theory : | 519.542 SAB 2011 Bayesian theory and methods with applications / | 519.544 EFJ 1982 The jackknife, the bootstrap, and other resampling plans / | 519.544 EGM 2009 Maximum penalized likelihood estimation / |
Includes bibliographical references and indexes.
TOC Statistical models --
Tests in models with monotonicity properties --
Statistical decision theory --
Comparison of models, reduction by sufficiency --
Invariant statistical decision models --
Large sample approximations of models and decisions --
Estimation --
Testing --
Selection --
Appendix: Topics from analysis, measure theory, and probability theory --
Appendix: Common notation and distributions.
Summary:
"This monograph is written for advanced graduate students, Ph. D. students, and researchers in mathematical statistics and decision theory. All major topics are introduced on a fairly elementary level and then developed gradually to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. It can be used as a basis for graduate courses, seminars, Ph. D. programs, Read more...
AS
Saifun Momota
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