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- W2034269330 abstract "Abstract In this note we study a nonparametric estimator of the mean time to failure within the model of random censorship, provided only failures are recorded, and censoring times are not available. The s-bias of this estimator is of order O(1) and does not vanish with increasing sample size. We present bounds for the main term of the s-bias under additional assumptions such as the Koziol-Green model of random censoring and lifetime distributions belonging to the IFRA or DFRA classes. A corrected estimator s-bias is proposed for use in reliability practice, provided that the underlying lifetime distribution is IFRA or DFRA. This is a valuable tool if one is able to observe only failure times." @default.
- W2034269330 created "2016-06-24" @default.
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- W2034269330 date "1994-08-01" @default.
- W2034269330 modified "2023-09-27" @default.
- W2034269330 title "Nonparametric estimation of mean time to failure with unknown stochastic censoring" @default.
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- W2034269330 doi "https://doi.org/10.1016/0026-2714(94)90142-2" @default.
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