期刊論文
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20727 ) |