Demonstrating how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations, this book illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presented is the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates ...
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Demonstrating how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations, this book illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presented is the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.
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Add this copy of Multiple Imputation for Nonresponse in Surveys to cart. $114.95, very good condition, Sold by Salish Sea Books rated 4.0 out of 5 stars, ships from Bellingham, WA, UNITED STATES, published 2004 by Wiley-Interscience Publishing.
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Very Good+; Softcover; Covers are still glossy; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5"-9.75" tall); 1.1 lbs; Black and yellow covers with title in white lettering; 2004, Wiley-Interscience Publishing; 320 pages; "Multiple Imputation for Nonresponse in Surveys, " by Donald B. Rubin.
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