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- W1989272313 abstract "The problem of estimating a smooth distribution function F at a point t is treated under the proportional hazard model of random censorship. It is shown that a certain class of properly chosen kernel type estimator of F asymptotically perform better than the maximum likelihood estimator. It is shown that the relative deficiency of the maximum likelihood estimator of F under the proportional hazard model with respect to the properly chosen kernel type estimator tends to infinity as the sample size tends to infinity." @default.
- W1989272313 created "2016-06-24" @default.
- W1989272313 creator A5006684892 @default.
- W1989272313 date "1989-01-01" @default.
- W1989272313 modified "2023-09-28" @default.
- W1989272313 title "Deficiency of the mle of a smooth survival function under the proportional hazard model" @default.
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- W1989272313 doi "https://doi.org/10.1080/03610928908830076" @default.
- W1989272313 hasPublicationYear "1989" @default.
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