BOOTSTRAPPING LOGISTIC-REGRESSION MODELS WITH RANDOM REGRESSORS

被引：3

作者：

LEE, KW

机构：

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1990年 / 19卷 / 07期

关键词：

approximating family; bootstrap; KulIback-Leibler divergence; logistic regression; operating family;

D O I：

10.1080/03610929008830332

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The logistic regression models with random regressors case are considered for bootstrapping. It is shown that the bootstrap approximation to the distribution of the maximum likelihood estimators is valid for almost all sample sequences. A slight extension of this model is also considered. © 1990 Taylor & Francis Group, LLC. All rights reserved.

引用

页码：2527 / 2539

页数：13

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