02161nam a22003737a 4500
4528
BD-DhEWU
20180107152753.0
080303s2008 nyua g b 001 0 eng d
2008924221
9780387731933
0387731938
(OCoLC)ocn172984351
BTCTA
BTCTA
BAKER
YDXCP
BWX
WTU
CDX
OHX
OHX
BD-DhEWU
eng
eng
QA279.4
.L54 2008
519.542
22
LIS 2008
Liese, Friedrich,
1944-
19502
Statistical decision theory :
estimation, testing, and selection /
Friedrich Liese, Klaus-J. Miescke.
New York :
Springer Verlag,
c2008.
xvii, 677 p. :
ill. ;
25 cm.
Springer series in statistics.
19481
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
Statistical decision.
2787
Miescke, Klaus-J.
19503
WorldCat details
http://www.worldcat.org/title/statistical-decision-theory-estimation-testing-and-selection/oclc/172984351&referer=brief_results
E-book Fulltext
http://lib.ewubd.edu/ebook/4528
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519.542 LIS 2008
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2015-04-20
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2015-04-20
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2018-01-07
519.542 LIS 2008
2018-01-07
2018-01-07
EBOOK