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Statistical decision theory : estimation, testing, and selection / Friedrich Liese, Klaus-J. Miescke.

By: Liese, Friedrich, 1944-.
Contributor(s): Miescke, Klaus-J.
Material type: TextTextSeries: Springer series in statistics. Publisher: New York : Springer Verlag, c2008Description: xvii, 677 p. : ill. ; 25 cm.ISBN: 9780387731933; 0387731938.Subject(s): Statistical decisionDDC classification: 519.542 Online resources: WorldCat details | E-book Fulltext
Contents:
Table of contents 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: 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...
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
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Non-fiction 519.542 LIS 2008 (Browse shelf) Not for loan
Text Text EWU Library
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Non-fiction 519.542 LIS 2008 (Browse shelf) C-1 Not For Loan 26616
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Includes bibliographical references and indexes.

Table of contents 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...

Applied Statistics

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