Multiple Imputation for Nonresponse in Surveys (Wiley Series in Probability and Statistics)

By Donald B. Rubin

Book Overview

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.

• Format: Hardcover
• Language: English
• ISBN: 047108705X
• ISBN13: 9780471087052
• Release Date: June 1987
• Publisher: Wiley
• Length: 258 Pages
• Weight: 1.10 lbs.
• Dimensions: 9.4" x 0.8" x 6.4"

Customer Reviews

great introduction to multiple imputation and first by the inventor of the technique

This book is a companion to the text by Rubin and Little. It specializes in one particular technique (multiple imputation)that has been highly successful particularly in nonrespnse surveys. Rubin has had a lot of good practical experience in missing data from his years of doing survey research at the Education Testing Service (ETS). He share this experience, knowledge and original ideas in this excellent text!