Statistical Inference: An Integrated Approach, 2/e (Hardcover)

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.

《統計推論：貝葉斯與頻率派方法的平衡處理，第二版》提供了對統計推論中的貝葉斯和頻率派方法的介紹。這本第二版在兩種觀點上相比第一版更加平衡。

第二版的新增內容包括：
- 關於實證貝葉斯和懲罰最大概似法及其對迴歸模型的影響的新材料
- 關於假設檢驗、矩法、偏差修正和階層模型的擴展材料
- 更多的例子和練習題
- 更多比較兩種方法的內容，包括它們的相似性和差異性

這本書適用於高年級本科生和研究生課程，全面介紹了統計推論，但不深入探討技術細節。它比較了貝葉斯和頻率派的思維方式，並探討了兩者之間的邊界程序。書中有許多例子來說明方法和模型，每章末尾都有練習題。