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Logistic回归中的加权最小二乘估计 被引量:3

The Weighted Least Estimation of Logistic Models
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摘要 本文引入因变量是虚拟变量的回归模型 ,并通过logistic函数拟合这种模型 ,分析它在控制和预测方面的不足之处 .在此基础上提出用加权最小二乘估计回归方程 .模拟结果表明 。 This paper introduces the logistic regression models.First it extends a kind of models that the dependent variable is dichotomous.Then estimates it through logistic function.But there are some shortcomings when predicting.We give the weighted least estimation based on the heteroscedasticity.
出处 《应用数学》 CSCD 北大核心 2004年第S1期144-147,共4页 Mathematica Applicata
关键词 虚拟变量 Logistic函数 异方差性 加权最小二乘法 Dichotomous variable Logistic function Heteroscedasticity WLS
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