Statistical Inference: An Integrated Approach, 2/e (Hardcover)
暫譯: 統計推論:綜合方法(第二版,精裝本)

Helio S. Migon, Dani Gamerman, Francisco Louzada

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商品描述

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.

    商品描述(中文翻譯)

    貝葉斯與頻率派推論的平衡處理

    統計推論:綜合方法(第二版)提供了貝葉斯和頻率派統計推論方法的介紹。這一版新增了一位作者,與第一版相比,第二版對這兩種觀點的強調更加平衡。

    第二版的新內容


      • 關於經驗貝葉斯(empirical Bayes)和懲罰性似然(penalized likelihoods)及其對迴歸模型影響的新材料
      • 擴展了假設檢定、矩方法(method of moments)、偏差修正(bias correction)和階層模型(hierarchical models)的內容
      • 更多的範例和練習題
      • 對這兩種方法的比較,包括它們的相似性和差異


      本書旨在用於高年級本科生和研究生課程,全面涵蓋統計推論,而不深入技術細節。它比較了貝葉斯和頻率派的思維方式,並探討了位於兩者之間的程序。許多範例說明了這些方法和模型,每章末尾均附有練習題。