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The Treatment of Missing Values in Discriminant Analysis-1. The Sampling Experiment

✍ Scribed by Linda S. Chan and Olive Jean Dunn

Book ID
124208562
Publisher
American Statistical Association
Year
1972
Tongue
English
Weight
816 KB
Volume
67
Category
Article
ISSN
0162-1459

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The Treatment of Missing Values in Logis
The Treatment of Missing Values in Logistic Regression
✍ Karen Yuen Fung; Barbara A. Wrobel πŸ“‚ Article πŸ“… 1989 πŸ› John Wiley and Sons 🌐 English βš– 657 KB

The efficiencies of the estimators in the linear logistic regression model are examined using simulations under six missing value treatments. These treatments use either the maximum likelihood or the discriminant function approach in the estimation of the regression coefficients. Missing values are