Tools for Statistical Inference: Observed Data and Data Augmentation Methods (1991) (Lecture Notes in Statistics #67)
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- Synopsis
- From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
- Copyright:
- 1991
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781468405101
- Related ISBNs:
- 9780387975252
- Publisher:
- Springer New York
- Date of Addition:
- 01/19/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
Reviews
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- by Martin A. Tanner
- in Nonfiction
- in Mathematics and Statistics
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