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Item Details
Title: MISSING DATA
By: Paul D. Allison
Format: Paperback

List price: £36.99
Our price: £33.29
Discount:
10% off
You save: £3.70
ISBN 10: 0761916725
ISBN 13: 9780761916727
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: SAGE PUBLICATIONS INC
Pub. date: 13 August, 2001
Series: Quantitative Applications in the Social Sciences
Pages: 104
Description: 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.
Synopsis: 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 non-technical 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.
Publication: US
Imprint: SAGE Publications Inc
Returns: Returnable
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