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Logistic 回归中的异常值与残差分布AI 解读

Detection of outliers and other diagnostics based on residuals have gained widespread use in linear regression. Logistic regression has been both blessed and hindered by this development. Certainly logistic regression requires procedures to detect global and local model weaknesses. Thus the wealth of work done in linear regression provides guides and suggestions that may, with care and ingenuity, be applied to logistic regression. Several innovative attempts in this…

逻辑回归中的异常值与残差分布AI 解读

Detection of outliers and other diagnostics based on residuals have gained widespread use in linear regression. Logistic regression has been both blessed and hindered by this development. Certainly logistic regression requires procedures to detect global and local model weaknesses. Thus the wealth of work done in linear regression provides guides and suggestions that may, with care and ingenuity, be applied to logistic regression. Several innovative attempts in this…

逻辑回归中推断充分性的诊断AI 解读

Inference for logistic regression based on the information matrix may be poor. This is noted in two examples in which confidence regions are examined. A measure to detect such inadequacies is presented; it judges the quadratic approximation to the likelihood surface, which justifies the usual procedure.