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Название: Statistical Analysis with Missing Data, 3rd Edition
Автор: Roderick J. A. Little, Donald B. Rubin
Издательство: Wiley
Год: 2020
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
An up-to-date, comprehensive treatment of a classic text on missing data in statistics. 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.
Автор: Roderick J. A. Little, Donald B. Rubin
Издательство: Wiley
Год: 2020
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
An up-to-date, comprehensive treatment of a classic text on missing data in statistics. 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.