Migon / Gamerman / Louzada | Statistical Inference | Buch | 978-1-4398-7880-4 | sack.de

Buch, Englisch, 386 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 743 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

Migon / Gamerman / Louzada

Statistical Inference

An Integrated Approach, Second Edition
2. Auflage 2014
ISBN: 978-1-4398-7880-4
Verlag: Chapman and Hall/CRC

An Integrated Approach, Second Edition

Buch, Englisch, 386 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 743 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

ISBN: 978-1-4398-7880-4
Verlag: Chapman and Hall/CRC


A Balanced Treatment of Bayesian and Frequentist Inference

Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition.

New to the Second Edition

- New material on empirical Bayes and penalized likelihoods and their impact on regression models

- Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models

- More examples and exercises

- More comparison between the approaches, including their similarities and differences

Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.

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Zielgruppe


Graduate students and researchers in statistics, engineering, economics, epidemiology, mathematics, and computer science.

Weitere Infos & Material


Introduction. Elements of Inference. Prior Distribution. Estimation. Approximating Methods. Hypothesis Testing. Prediction. Introduction to Linear Models. Sketched Solutions to Selected Exercises. List of Distributions. References. Index.


Helio S. Migon (Universidade Federal do Rio de Janeiro, Brazil) (Author), Dani Gamerman (Universidade Federal do Rio de Janeiro, Brazil) (Author), Francisco Louzada (Universidade Federal de Sao Carlos, Brazil) (Author)



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