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- W2010500801 abstract "In two recent papers, Bassiakos, Meng and Lo (1991) and Meng, Bassiakos and Lo (1991) defined a new Hodges-Lehmann type estimator for a shift parameter in the two-sample, random censorship problem. This estimator is based on a truncated version of the Wilcoxon rank statistic, in which the Kaplan-Meier estimators are substituted for the empirical distribution functions. In this paper, the ideas of these authors are extended to a large class of estimators with score functions that are similar to those of Chernoff and Savage (1958). These new estimators are shown to be strongly consistent and asymptotically normal. The behavior of their asymptotic relative efficiencies is also examined under two stochastic orderings on symmetric distributions. Through simulations, it is seen that the new estimators perform well in the presence of heavy and uneoual censoring." @default.
- W2010500801 created "2016-06-24" @default.
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- W2010500801 date "1999-01-01" @default.
- W2010500801 modified "2023-09-27" @default.
- W2010500801 title "A class of hodges -lehmann type estimators for censored data" @default.
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- W2010500801 doi "https://doi.org/10.1080/10485259908832763" @default.
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