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Theoretical statistics : topics for a core course

저자: Robert W Keener
출판사: New York : Springer, 2010.
시리즈: Springer texts in statistics.
판/형식:   Print book : 영어모든 판과 형식 보기
데이터베이스:WorldCat
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Covers topics in theoretical statistics. This book includes chapters that covers bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and  더 읽기…

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자료 유형: 인터넷 자료
문서 형식: 책, 인터넷 자원
모든 저자 / 참여자: Robert W Keener
ISBN: 9780387938387 0387938389 9780387938394 0387938397
OCLC 번호: 688477588
설명: xvii, 538 p. : ill. ; 24 cm.
내용: Probability and measure --
Exponential families --
Risk, sufficiency, completeness, and ancillarity --
Unbiased estimation --
Curved exponential families --
Conditional distributions --
Bayesian estimation --
Large-sample theory --
Estimating equations and maximum likelihood --
Equivariant estimation --
Empirical bayes and shrinkage estimators --
Hypothesis testing --
Optimal tests in higher dimensions --
General linear model --
Bayesian inference : modeling and computation --
Asymptotic optimality --
Large-sample theory for likelihood ratio tests --
Nonparametric regression --
Bootstrap methods --
Sequential methods --
Appendix 1: Functions --
Appendix 2: Topology and continuity in Rn --
Appendix 3: Vector spaces and the geometry of Rn --
Appendix 4: Manifolds and tangent spaces --
Appendix 5: Taylor expansion for functions of several variables --
Appendix 6: Inverting a partitioned matrix --
Appendix 7: Central limit theory --
Solutions.
일련 제목: Springer texts in statistics.
책임: Robert W. Keener.
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From the reviews: "The book is innovative in the presentation and in mashing the traditional material with modern topics. The presentation shows a great mastery of the subject. ... recommended to 더 읽기…

 
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