Nonparametric smoothing in modeling logistic regression
學年 94
學期 2
出版（發表）日期 2006-07-01
作品名稱 Nonparametric smoothing in modeling logistic regression
作品名稱（其他語言）
著者 Lin, Kuo-chin; Chen, Yi-ju
單位 淡江大學統計學系
出版者 New Delhi: TARU Publications
著錄名稱、卷期、頁數 Journal of Statistics & Management systems 9(2), pp.381-395
摘要 This paper is emphasized on the logistic regression model fit with continuous and categorical covariates. A test statistic based on non-parametric local linear regression technique with optimal bandwidth which is chosen by cross validation method is proposed. This proposed test does not require a space partition of covariates or groups of the fitted values to compensate a small expected cell size. The expectation and variance of the proposed test statistic are computed and the sampling distributions of test statistic for various of logistic regression models are evaluated. We use simulations to compare the power of the new test with that of the current assessing methods for different logistic models. The proposed method is illustrated by using data from Caplehorn (1991) for the heroin addicts.
關鍵字
語言 en
ISSN 0972-0510
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 IND
公開徵稿
出版型式 紙本
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