Statistical decision theory : estimation, testing, and selection / Friedrich Liese, Klaus-J. Miescke.Material type: TextLanguage: English Series: Springer series in statisticsPublication details: New York : Springer Verlag, c2008. Description: xvii, 677 p. : ill. ; 25 cmISBN: 9780387731933; 0387731938Subject(s): Statistical decisionDDC classification: 519.542 LOC classification: QA279.4 | .L54 2008Online resources: WorldCat details | E-book Fulltext
|Item type||Current library||Collection||Call number||Copy number||Status||Date due||Barcode||Item holds|
|E-Book||EWU Library E-book||Non-fiction||519.542 LIS 2008 (Browse shelf(Opens below))||Not for loan|
|Text||EWU Library Reserve Section||Non-fiction||519.542 LIS 2008 (Browse shelf(Opens below))||C-1||Not For Loan||26616|
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 --
Appendix: Topics from analysis, measure theory, and probability theory --
Appendix: Common notation and distributions.
"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...