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Statistical analysis with missing data

By: Little, Roderick J. A.
Contributor(s): Rubin, Donald B.
Series: Wiley series in probability and statistics.Publisher: 2020 Wiley, HobokenEdition: 3rd ed.Description: xii, 449 p. ; ill., 24 cm.ISBN: 9780470526798.Subject(s): Mathematics Applied | Missing observations | Categorical variables | Contingency table | Linear regression | Marginal distribution | Multivariate normal distribution | Simple random samplingDDC classification: 519.5 Summary: Praise for the First Edition of Statistical Analysis with Missing Data ""An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area.""-William E. Strawderman, Rutgers University ""This book...provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician's bookshelf.""-The Statistician ""The book should be studied in the statistical methods department in every statistical agency.
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519.5 LIT (Browse shelf) Available 035236

Includes bibliographical references and indexes.

Praise for the First Edition of Statistical Analysis with Missing Data ""An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area.""-William E. Strawderman, Rutgers University ""This book...provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician's bookshelf.""-The Statistician ""The book should be studied in the statistical methods department in every statistical agency.

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