Statistical Inference: An Integrated Approach 2/e
售價
$
1,600
- 一般書籍
- ISBN：9781439878804
- 作者：Helio S. Migon, Dani Gamerman, Francisco Louzada
- 版次：2
- 年份：2015
- 出版商：Taylor & Francis
- 頁數/規格：367頁/精裝單色
書籍介紹
本書特色
目錄
Description
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.
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
Features
- 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
Features
- Provides readers with an integrated understanding of statistical inference from both classical and Bayesian perspectives
- Describes the strengths and weaknesses of the two viewpoints, emphasizing the importance of a comparative approach to inference
- Covers all the main topics of inference, including point and interval estimation, hypothesis testing, prediction, approximation, and linear models
- Includes real data examples and numerous exercises
Table of Contents
1. Introduction
2. Elements of Inference
3. Prior Distribution
4. Estimation
5. Approximating Methods
6. Hypothesis Testing
7. Prediction
8. Introduction to Linear Models
Sketched Solutions to Selected Exercises
List of Distributions
References
Index
1. Introduction
2. Elements of Inference
3. Prior Distribution
4. Estimation
5. Approximating Methods
6. Hypothesis Testing
7. Prediction
8. Introduction to Linear Models
Sketched Solutions to Selected Exercises
List of Distributions
References
Index
