Abstract
A nonparametric method of estimation is presented in a multiple regression model where there are two discrete independent variables (covariates) and the dependent variable (response) is randomly right censored. The censoring distribution may depend on the covariates. The efficiency of our non-iterative estimators is compared with the other non-iterative estimators in the literature using simulations. The asymptotic normality of the estimators of the regression parameters is established. In addition, the distributions of estimators of the asymptotic variances are obtained.
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© 1996 Springer Science+Business Media Dordrecht
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Rahbar, M.H. (1996). Nonparametric Estimation of Regression Parameters from Censored Data with Two Discrete Covariates. In: Jewell, N.P., Kimber, A.C., Lee, ML.T., Whitmore, G.A. (eds) Lifetime Data: Models in Reliability and Survival Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5654-8_34
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DOI: https://doi.org/10.1007/978-1-4757-5654-8_34
Publisher Name: Springer, Boston, MA
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