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Analysis of incomplete multivariate data

Author: J L Schafer
Publisher: London ; New York : Chapman & Hall, ©1997.
Series: Monographs on statistics and applied probability (Series), 72.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

This work develops simulation techniques based on Bayesian (subjective) inference for multivariate data with missing values.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: J L Schafer
ISBN: 0412040611 9780412040610
OCLC Number: 37594064
Description: xiv, 430 pages : illustrations ; 22 cm.
Contents: Introduction Assumptions EM and Inference by Data Augmentation Methods for Normal Data More on the Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data Further Topics Appendices References Index
Series Title: Monographs on statistics and applied probability (Series), 72.
Responsibility: J.L. Schafer.
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"Overall, the book provides a sound basis on which one can build when dealing with real dataI take pleasure in recommending this well-written text." -Rainer Schlittgen in Statistical Papers "This Read more...

 
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