ESTIMATION IN LINEAR-MODELS WITH CENSORED-DATA
成果类型：
Article
署名作者：
SCHNEIDER, H; WEISSFELD, L
署名单位：
University of Michigan System; University of Michigan
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1986
页码：
741745
关键词：
摘要：
Three methods for linear regression with censored data are considered, that of Buckley and James (1979), a proposed simpler nonparametric method and a normal model for censored data. A new estimator for the variance of the error term in Buckley and James''s (1979) procedure is proposed and simulations comparing the three methods are described.