BOOTSTRAP CALIBRATION AND EMPIRICAL LIKELIHOOD IN THE LOGISTIC REGRESSION MODEL(Categorical Data Analysis)

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概要

• 論文の詳細を見る

• In this paper we introduce a bootstrap approximation for the sampling distribution of the empirical likelihood ratio statistic in the logistic regression model. Both classical and robust inference procedures are considered. Some results of a Monte Carlo experiment illustrate the effectiveness of the proposed approach.

• 日本計算機統計学会の論文
• 2003-06-00

著者

• Rocca Michele

  Department Of Economics And Statistics University Of Salerno

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• BOOTSTRAP CALIBRATION AND EMPIRICAL LIKELIHOOD IN THE LOGISTIC REGRESSION MODEL(Categorical Data Analysis)

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