Statistical Inference An Integrated Approach, Second Edition
Language: English
Published by Chapman and Hall/CRC, 2014
Series: Book 34 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
- New
Condition: New
£ 198.80
Quantity: 2 available
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This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models. It also compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Sprache: Englisch Gewicht in Gramm: 693.
Seller Inventory # IB-14741381
- Title
- Statistical Inference An Integrated Approach, Second Edition
- Author
- Francisco Louzada, Dani Gamerman, Helio S. Migon
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2014
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 1439878803
- ISBN 13
- 9781439878804
- Edition
- 2nd Edition
- Item weight
- 693 grams
- Series
- Book 34 of 126: Chapman & Hall/CRC Texts in Statistical Science
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.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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