Wiley Series in Probability and Statistics

2 primary works

Multiple Imputation for Nonresponse in Surveys WCL Edition

by Donald B. Rubin

Published 22 June 2004

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.

Statistical Analysis with Missing Data

by Roderick J Little and Donald B. Rubin

Published 11 May 1987

Blending theory and application, this study reviews historical approaches to the subject and provides rigorous yet simple methods for multivariate analysis with missing values. The book goes on to provide a coherent theory for the analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism. The theory is applied to a wide range of important missing-data problems. Extensive references, examples and exercises are also provided.