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Theoretical statistics : topics for a core course / Robert W. Keener.

By: Material type: TextTextSeries: Springer texts in statisticsPublication details: New York : Springer, 2010.Description: xvii, 538 p. : ill. ; 24 cmISBN:
  • 9780387938387
  • 9781461426707
Subject(s): DDC classification:
  • 519.5  23
Contents:
Probability and measure -- Exponential families -- Risk, sufficiency , completeness, and ancillarity -- Unbiased estimation -- Curved expone ntial families -- Conditional distributions -- Bayesian estimation -- L arge-sample theory -- Estimating equations and maximum likelihood -- Eq uivariant estimation -- Empirical bayes and shrinkage estimators -- Hyp othesis testing -- Optimal tests in higher dimensions -- General linear model -- Bayesian inference : modeling and computation -- Asymptotic o ptimality -- Large-sample theory for likelihood ratio tests -- Nonparam etric 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 ta ngent spaces -- Appendix 5: Taylor expansion for functions of several v ariables -- Appendix 6: Inverting a partitioned matrix -- Appendix 7: C entral limit theory -- Solutions.
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Holdings
Item type Current library Call number Status Barcode
Books - Open Access Books - Open Access Institute of Statistics and Applied Economics Book Bank 519.5 KEE (Browse shelf(Opens below)) Available 001238089
Books - Open Access Books - Open Access Institute of Statistics and Applied Economics Book Bank 519.5 KEE (Browse shelf(Opens below)) Available 001277904

Includes bibliographical references (p. [525]-529) and index.

Probability and measure -- Exponential families -- Risk, sufficiency , completeness, and ancillarity -- Unbiased estimation -- Curved expone ntial families -- Conditional distributions -- Bayesian estimation -- L arge-sample theory -- Estimating equations and maximum likelihood -- Eq uivariant estimation -- Empirical bayes and shrinkage estimators -- Hyp othesis testing -- Optimal tests in higher dimensions -- General linear model -- Bayesian inference : modeling and computation -- Asymptotic o ptimality -- Large-sample theory for likelihood ratio tests -- Nonparam etric 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 ta ngent spaces -- Appendix 5: Taylor expansion for functions of several v ariables -- Appendix 6: Inverting a partitioned matrix -- Appendix 7: C entral limit theory -- Solutions.

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