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A minimax approach to missing values in linear regression

✍ Scribed by M. Jänner; P. Stahlecker

Book ID
112939432
Publisher
Springer-Verlag
Year
1993
Tongue
English
Weight
542 KB
Volume
34
Category
Article
ISSN
0932-5026

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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 📂 Article 📅 1989 🏛 John Wiley and Sons 🌐 English ⚖ 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