| Differential Measurement Errors in Zero-Truncated Regression Models for Count Data | |
|---|---|
| 學年 | 100 |
| 學期 | 1 |
| 出版（發表）日期 | 2011-12-01 |
| 作品名稱 | Differential Measurement Errors in Zero-Truncated Regression Models for Count Data |
| 作品名稱（其他語言） | |
| 著者 | Huang, Yih‐Huei; Hwang, Wen‐Han; Chen, Fei‐Yin |
| 單位 | 淡江大學數學學系 |
| 出版者 | Chichester: Wiley-Blackwell Publishing Ltd. |
| 著錄名稱、卷期、頁數 | Biometrics 67(4), pp.1471-1480 |
| 摘要 | Measurement errors in covariates may result in biased estimates in regression analysis. Most methods to correct this bias assume nondifferential measurement errors-i.e., that measurement errors are independent of the response variable. However, in regression models for zero-truncated count data, the number of error-prone covariate measurements for a given observational unit can equal its response count, implying a situation of differential measurement errors. To address this challenge, we develop a modified conditional score approach to achieve consistent estimation. The proposed method represents a novel technique, with efficiency gains achieved by augmenting random errors, and performs well in a simulation study. The method is demonstrated in an ecology application. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0006-341X 1541-0420 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Hwang, Wen‐Han |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/88825 ) |
GoogleAnalytics