A COMPARISON OF ESTIMATORS FOR REGRESSION WITH A CENSORED RESPONSE VARIABLE
成果类型：
Article
署名作者：
HELLER, G; SIMONOFF, JS
署名单位：
New York University
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/77.3.515
发表日期：
1990
页码：
515520
关键词：
摘要：
Several methods of estimating parameters in a linear regression when the response variable is censored are compared. The estimator of Buckley and James (1979) is preferred. Further, it is shown that the strength of the regression, the support and distribution of the censoring variable, and the magnitude of the slope all have an effect on the relative performance of the estimators.