Missing Data
Paul D. Allison
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.
Categorie:
Anno:
2001
Edizione:
1
Casa editrice:
Sage Publications, Inc
Lingua:
english
Pagine:
104
ISBN 10:
0761916725
ISBN 13:
9780761916727
Collana:
Quantitative Applications in the Social Sciences
File:
PDF, 12.71 MB
IPFS:
,
english, 2001
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