Analysis of incomplete multivariate - data

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

List of 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

About the author

J.L. Schafer

Summary

The author focuses on applications, as necessary, to help readers thoroughly understand the statistical properties of the methods and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, complemented by extended discussions and practical advice.

Additional text

"Overall, the book provides a sound basis on which one can build when dealing with real data…I take pleasure in recommending this well-written text."-Rainer Schlittgen in Statistical Papers"This book provides an excellent introduction to statistical inference…Thanks to the clear and relatively complete treatment of many of the main ideas in this area, even theoretically oriented readers may find this book worthwhile."-Mark Steel, Mathematical Reviews

Product details

• Authors: j l Schafer, J. L. Schafer, J.L. Schafer, J.l. (Penn State University Schafer
• Assisted by: D.R. Cox (Editor of the series), Valerie Isham (Editor of the series), Niels Keiding (Editor of the series), Thomas A. Louis (Editor of the series), N. Reid (Editor of the series), Howell Tong (Editor of the series)
• Publisher: External catalogues US
• Languages: English
• Product format: Hardback
• Released: 15.12.1997
• EAN: 9780412040610
• ISBN: 978-0-412-04061-0
• Dimensions: 146 mm x 220 mm x 28 mm
• Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability; Chapman & Hall/CRC Monographs on Statistics & Applied Probability; Chapman & Hall/CRC Monographs on Statistics and Applied Probability
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics