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Statistical Inference: An Integrated Approach 2/e

作者：Helio S. Migon, Dani Gamerman, Francisco Louzada
原價：NT$ 1,600

ISBN：9781439878804
版次：2
年份：2015
出版商：Taylor & Francis
頁數/規格：367頁/精裝單色

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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.

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.

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

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