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Can I read Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics) on EtoBox?

Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics) by Roderick J. A. Little and Donald B. Rubin is a nonfiction available to read on EtoBox.

What is Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics) about?

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. 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

Who reads Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Roderick J. A. Little and Donald B. Rubin
Publisher
Wiley & Sons, Incorporated, John
Published
2019
Language
EN
ISBN
9780470526798
Category
nonfiction
Subjects
Mathematics, Probability, Stem

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