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Some simple procedures for handling missing data in multivariate analysis

โœ Scribed by James W. Frane


Book ID
112726435
Publisher
Springer
Year
1976
Tongue
English
Weight
370 KB
Volume
41
Category
Article
ISSN
0033-3123

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Multivariate data sets often contain gaps in the data matrix. Especially with medical data, missing values are not always avoidable. Most techniques of data analysis do not allow for data gaps; a brief overview is given of the methods currently used to cope with this problem. There are two major gro