Original PDF Ebook – Statistical Analysis with Missing Data3rd Edition – 9780470526798

Original PDF Ebook – Statistical Analysis with Missing Data3rd Edition – 9780470526798

AN UP-TO-DATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS_x000D_
The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems._x000D_
Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics._x000D_
An updated “classic” written by renowned authorities on the subject_x000D_
Features over 150 exercises (including many new ones)_x000D_
Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods_x000D_
Revises previous topics based on past student feedback and class experience_x000D_
Contains an updated and expanded bibliography_x000D_
Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.