Missing Data

by Paul D. Allison

2020-12-29 13:28:28

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Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imput... Read more
Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has relied on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data. Less

Book Details

File size8.5 X 5.5 X 0.31 in
Print pages104
PublisherSage Publications
Publication date August 13, 2001
Languageeng
ISBN9781452207902

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