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Modes of parametric statistical inference

Author: Seymour Geisser; Wesley O Johnson; Wiley InterScience (Online service)
Publisher: Hoboken, N.J. : Wiley-Interscience, ©2006.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
A fascinating investigation into the foundations of statistical inferenceThis publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Geisser, Seymour.
Modes of parametric statistical inference.
Hoboken, N.J. : Wiley-Interscience, ©2006
(DLC) 2005041357
(OCoLC)57754182
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Seymour Geisser; Wesley O Johnson; Wiley InterScience (Online service)
ISBN: 0471743127 9780471743125 9780471743132 0471743135 0471667269 9780471667261 1280288108 9781280288104
OCLC Number: 173155195
Description: 1 online resource (xv, 192 pages) : illustrations.
Contents: Modes of Parametric Statistical Inference; Contents; Foreword; Preface; 1. A Forerunner; 2. Frequentist Analysis; 3. Likelihood; 4. Testing Hypotheses; 5. Unbiased and Invariant Tests; 6. Elements of Bayesianism; 7. Theories of Estimation; 8. Set and Interval Estimation; References; Index.
Series Title: Wiley series in probability and statistics.
Responsibility: Seymour Geisser with the assistance of Wesley Johnson.

Abstract:

A fascinating investigation into the foundations of statistical inferenceThis publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference.

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..".a terrific resource for students preparing for comprehensive exams and wanting to expand their understanding of statistical inference." (Biometrics, September 2007)

 
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