期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2011-02-01 |
| 作品名稱 | A goodness-of-fit test for logistic-normal models using nonparametric smoothing method |
| 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 | Amsterdam: Elsevier BV * North-Holland |
| 著錄名稱、卷期、頁數 | Journal of Statistical Planning and Inference 141(2), pp.1069-1076 |
| 摘要 | Logistic-normal models can be applied for analysis of longitudinal binary data. The aim of this article is to propose a goodness-of-fit test using nonparametric smoothing techniques for checking the adequacy of logistic-normal models. Moreover, the leave-one-out cross-validation method for selecting the suitable bandwidth is developed. The quadratic form of the proposed test statistic based on smoothing residuals provides a global measure for checking the model with categorical and continuous covariates. The formulae of expectation and variance of the proposed statistics are derived, and their asymptotic distribution is approximated by a scaled chi-squared distribution. The power performance of the proposed test for detecting the interaction term or the squared term of continuous covariates is examined by simulation studies. A longitudinal dataset is utilized to illustrate the application of the proposed test. |
| 關鍵字 | Goodness-of-fit; Logistic-normal models; Longitudinal binary data; Nonparametric smoothing |
| 語言 | en |
| ISSN | 0378-3758 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Lin, Kuo-Chin |
| 審稿制度 | |
| 國別 | NLD |
| 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/987654321/58473 ) |