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Principles of Statistical Inference [Hardcover]

By Luigi Pace (Author) & Alessandra Salvan (Author)
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Item Number 168194  
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Item description for Principles of Statistical Inference by Luigi Pace & Alessandra Salvan...

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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Item Specifications...

Studio: World Scientific Publishing Company
Pages   535
Est. Packaging Dimensions:   Length: 8.87" Width: 6.41" Height: 1.09"
Weight:   2.03 lbs.
Binding  Hardcover
Release Date   Jan 15, 1997
Publisher   World Scientific Publishing Company
ISBN  9810230664  
ISBN13  9789810230661  

Availability  0 units.

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1Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
2Books > Subjects > Science > General
3Books > Subjects > Science > Mathematics > Applied > General
4Books > Subjects > Science > Mathematics > Applied > Probability & Statistics
5Books > Subjects > Science > Mathematics > General

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