期刊論文

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
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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