Statistical Analysis With Missing Data (Wiley Series in Probability and Statistics)

✍ Scribed by Roderick J. A. Little, Donald B. Rubin

Publisher: Wiley
Year: 1987
Tongue: English
Leaves: 291
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Acknowledged experts on the subject bring together diverse sources on methods for statistical analysis of data sets with missing values, a pervasive problem for which standard methods are of limited value. Blending theory and application, it reviews historical approaches to the subject, and rigorous yet simple methods for multivariate analysis with missing values. Goes on to provide a coherent theory for 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.

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