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Introduction to Mathematical Statistics / Robert V. Hogg, Joseph W. McKean, Allen T. Craig

By: Contributor(s): Publisher: Upper Saddle River, New Jersey : PEARSON Prentice Hall, 2005Copyright date: ©2005Edition: Sixth EditionDescription: xiii, 704 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780130085078
  • 0130085073
Subject(s): DDC classification:
  • 23 519.5
Contents:
Probability and distributions -- Multivariate distributions -- Some special distributions -- Unbiasedness, consistency, and limiting distributions -- Some elementary statistical inferences -- Maximum likelihood methods -- Sufficiency -- Optimal tests of hypotheses -- Inferences about normal models -- Nonparametric statistics -- Bayesian statistics -- Linear models.
Summary: For two-semester, beginning graduate courses in mathematical statistics, and for senior undergraduate mathematics, statistics, and actuarial science majors, this text retains its outstanding ongoing features and continues to provide students with excellent background material necessary for a successful understanding of mathematical statistics
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Holdings
Item type Current library Shelving location Call number Status Barcode
Book Perpustakaan Alor Setar Pinjaman Dewasa 519.5 HOG (Browse shelf(Opens below)) Available A00748760

Includes bibliographical references and index.

Probability and distributions --
Multivariate distributions --
Some special distributions -- Unbiasedness, consistency, and limiting distributions --
Some elementary statistical inferences -- Maximum likelihood methods --
Sufficiency --
Optimal tests of hypotheses -- Inferences about normal models --
Nonparametric statistics -- Bayesian statistics --
Linear models.

For two-semester, beginning graduate courses in mathematical statistics, and for senior undergraduate mathematics, statistics, and actuarial science majors, this text retains its outstanding ongoing features and continues to provide students with excellent background material necessary for a successful understanding of mathematical statistics

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