Mixture or logistic regression estimation for discrimination
β Scribed by Terence J. O'Neill
- Book ID
- 103593418
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 263 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0167-7152
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π SIMILAR VOLUMES
The expected error rates associated with using the allocation rule based on logistic regression are derived in the context of two multivariate normal populations with a common covariance matrix and compared with the corresponding error rates of the classical rule based on this normality assumption.
A computer program has been written which performs a stepwise selection of variables for logistic regression using maximum likelihood estimation. The selection procedure is based on likelihood ratio tests for the coefficients. These tests are used in a forward selection and a backward elimination at