| dc.contributor | 應數系 | |
| dc.creator (作者) | Cheng, K. F. | |
| dc.creator (作者) | Hsueh, H. M. | |
| dc.date (日期) | 2003-01 | |
| dc.date.accessioned | 27-Sep-2018 17:21:41 (UTC+8) | - |
| dc.date.available | 27-Sep-2018 17:21:41 (UTC+8) | - |
| dc.date.issued (上傳時間) | 27-Sep-2018 17:21:41 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/120184 | - |
| dc.description.abstract (摘要) | We consider the estimation problem of a logistic regression model. We assume the response observations and covariate values are both subject to measurement errors. We discuss some parametric and semiparametric estimation methods using mismeasured observations with validation data and derive their asypmtotic distributions. Our results are extentions of some well known results in the literature. Comparisons of the asymptotic covariance matrices of the studied estimators are made, and some lower and upper bounds for the asymptotic relative efficiencies are given to show the advantages of the semiparametric method. Some simulation results also show the method performs well. | en_US |
| dc.format.extent | 444998 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Statistica Sinica , Vol. 13, No. 1 (January 2003), pp. 111-127 | |
| dc.subject (關鍵詞) | Kernel estimation; estimated likelihood; logistic regression; measurement error; misclassification | |
| dc.title (題名) | Estimation of a logistic regression model with mismeasured observations | |
| dc.type (資料類型) | article | |
