Estimation in linear models with censored data

Helmut Schneider; Lisa A. Weissfeld

doi:10.1093/biomet/73.3.741

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JOURNAL ARTICLE

Estimation in linear models with censored data

Helmut Schneider Lisa A. Weissfeld

Year: 1986 Journal: Biometrika Vol: 73 (3)Pages: 741-745 Publisher: Oxford University Press

DOI: 10.1093/biomet/73.3.741

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Abstract

Three methods for linear regression with censored data are considered, that of Buckley & 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 & James's (1979) procedure is proposed and simulations comparing the three methods are described.

Keywords:

Mathematics Statistics Estimator Censored regression model Variance (accounting) Nonparametric statistics Linear model Linear regression Econometrics

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Estimation in linear models with censored data

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