eBook - PDF

Principles of Statistical Inference from a Neo-Fisherian Perspective

Name: Principles of Statistical Inference from a Neo-Fisherian Perspective
ISBN: 9789813103016

Luigi Pace,

Alessandra Salvan;;;,

556 pages
English
PDF
Available on iOS & Android

eBook - PDF

Principles of Statistical Inference from a Neo-Fisherian Perspective

Luigi Pace,

Alessandra Salvan;;;,

About this book

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.

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Yes, you can access Principles of Statistical Inference from a Neo-Fisherian Perspective by Luigi Pace, Alessandra Salvan;;; in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.