Principles of Statistical Inference (V4)
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Book Overview In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical re...
In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical results are presented together with recent developments, largely built upon ideas due to R.A. Fisher. The term "neo-Fisherian" highlights this.
After a unified review of background material (statistical models, likelihood, data and model reduction, first-order asymptotics) and inference in the presence of nuisance parameters (including pseudo-likelihoods), a self-contained introduction is given to exponential families, exponential dispersion models, generalized linear models, and group families. Finally, basic results of higher-order asymptotics are introduced (index notation, asymptotic expansions for statistics and distributions, and major applications to likelihood inference).
The emphasis is more on general concepts and methods than on regularity conditions. Many examples are given for specific statistical models. Each chapter is supplemented with problems and bibliographic notes. This volume can serve as a textbook in intermediate-level undergraduate and postgraduate courses in statistical inference.
Book Details Format: Paperback | Pages: 535 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9812386947
FormatPaperback
Pages535
LanguageEnglish
ISBN9812386947
EAN9789812386946
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
EditionIllustrated
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.67 Pounds
Length8.4 Inches
Width6.0 Inches
Height1.2 Inches
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