| ASSESSING GENERALIZED LINEAR MIXED MODELS USING RESIDUAL ANALYSIS | |
|---|---|
| 學年 | 101 |
| 學期 | 1 |
| 出版（發表）日期 | 2012-08-01 |
| 作品名稱 | ASSESSING GENERALIZED LINEAR MIXED MODELS USING RESIDUAL ANALYSIS |
| 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 | Kumamoto: ICIC International |
| 著錄名稱、卷期、頁數 | International Journal of Innovative Computing, Information and Control 8(8), pp.5693-5701 |
| 摘要 | A nonparametric smoothing method for assessing the adequacy of generalized linear mixed models (GLMMs) is developed. The proposed method is based on smoothing the residuals over continuous covariates to avoid the partition of continuous covariates on model checking. The global test statistic has a quadratic form and its formulae of expectation as well as variance are derived. The sampling distribution of the quadratic form test statistic is approximated by a scaled chi-squared distribution. For bandwidth selection, the leave-one-out cross-validation approach is recommendable for use. A longitudinal binary data set is utilized to demonstrate the proposed approach. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1349-4198 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | JPN |
| 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/987654321/97105 ) |
| SDGS | 優質教育 |
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