In the present work, the problem of estimating parameters of statistical models for categorical data is analyzed. The minimum K¢-divergence estimator is obtained minimizing the K¢-divergence measure between the theoretical and the empirical probability vectors. Its asymptotic properties are obtained
✦ LIBER ✦
Minimum Φ-divergence estimator in logistic regression models
✍ Scribed by Julio Angel Pardo; Leandro Pardo; María del Carmen Pardo
- Publisher
- Springer-Verlag
- Year
- 2006
- Tongue
- English
- Weight
- 712 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0932-5026
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A new modification of Berkson's minimum logit chi-squared estimator in simple linear logistic regression is suggested in order to achieve reduction of first order biae of the estimator ae well as in the model. Furthermore, unlike estimators currently available, our procedure is quite simple to apply