Statistical Inference: An Integrated Approach, Second Edition

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.

    1133719199
    Statistical Inference: An Integrated Approach, Second Edition

    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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      Statistical Inference: An Integrated Approach, Second Edition

      Statistical Inference: An Integrated Approach, Second Edition

      Statistical Inference: An Integrated Approach, Second Edition

      Statistical Inference: An Integrated Approach, Second Edition

      Hardcover(2nd ed.)

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      Overview

      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.


        Product Details

        ISBN-13: 9781439878804
        Publisher: Taylor & Francis
        Publication date: 09/03/2014
        Series: Chapman & Hall/CRC Texts in Statistical Science , #114
        Edition description: 2nd ed.
        Pages: 386
        Product dimensions: 6.30(w) x 9.30(h) x 0.90(d)

        About the Author

        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)

        Table of Contents

        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.

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