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- W768770186 abstract "In the case of multiple survival times which might be censored at each covariate vector, we study the regression quantile estimations in this paper. The estimations are based on the empirical distribution functions of the censored times and the sample quantiles of the observed survival times at each covariate vector and the weighted least square method is applied for the estimation of the regression quantile. The estimators are shown to be asymptotically normally distributed under some regularity conditions." @default.
- W768770186 created "2016-06-24" @default.
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- W768770186 date "2002-01-01" @default.
- W768770186 modified "2023-09-23" @default.
- W768770186 title "Regression Quantile Estimations on Censored Survival Data" @default.
- W768770186 hasPublicationYear "2002" @default.
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