Probability & Mathematical Statistics S.

1 total work

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.