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Testing in logistic regression models based on phi-divergences measures

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Publication Date
2006
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Pardo Llorente, María del Carmen
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Elsevier Science
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In this paper, we consider inference based on very general divergence measures under assumptions of a logistic regression model. We use the minimum phi-divergence estimator in a phi-divergence statistic, which is the basis of some new statistics, for solving the classical problems of testing in a logistic regression model. A diagnostic analysis is developed based on the new estimators and test statistics.
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