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Missing Data (Paperback) Loot Price: R1,352
Discovery Miles 13 520
Repayment Terms: R127 pm x 12*
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Missing Data (Paperback)

Paul D Allison

Series: Quantitative Applications in the Social Sciences

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Loot Price R1,352 Discovery Miles 13 520 | Repayment Terms: R127 pm x 12*

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Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. 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 been relying 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.

 

 


General

Imprint: Sage Publications Ltd
Country of origin: United States
Series: Quantitative Applications in the Social Sciences
Release date: October 2001
First published: August 2001
Authors: Paul D Allison
Dimensions: 216 x 140 x 5mm (L x W x T)
Format: Paperback
Pages: 93
ISBN-13: 978-0-7619-1672-7
Categories: Books > Social sciences > Sociology, social studies > Social research & statistics > General
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LSN: 0-7619-1672-5
Barcode: 9780761916727

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