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MAXIMUM LIKELIHOOD AND UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATION OF P(Y

机译:Gompertz分布的P(Y

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摘要

Maximum likelihood estimator of R = P(Y < X) is derived when all the parameters of Gompertz distribution for X and Y are unknown and unequal. Maximum likelihood estimator for estimating ‘R’ is also derived, when one parameter is known (and equal), but other parameter is unknown for X and Y. Uniformly minimum variance unbiased estimator (UMVUE) of P(Y < X) is also derived for the case when one parameter is known (and unequal), but other parameter is unknown for both X and Y. A new approach has beenapplied for deriving the UMVUE of R using estimator of power of unknown parameter. Performance of the estimators have been examined using bootstrap technique.
机译:当X和Y的Gompertz分布的所有参数未知且不相等时,得出R = P(Y

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