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- W2147641570 abstract "Summary Assume k independent populations are given which are distributed according to RJ1; ... ; RJk OJi2 Q RU. Taking samples of size n the population with the smallest J-value is to be selected. Using the framework of Le Cam’s decision theory (Le Cam, 1986; Strasser, 1985) under mild regularity assumptions, an asymptotically optimal selection procedure is derived for the sequence of localized models. In the proportional hazards model with conditionally independent censoring, an asymptotically optimal adaptive selection procedure is constructed by substituting the unknown nuisance parameter by a kernel estimator." @default.
- W2147641570 created "2016-06-24" @default.
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- W2147641570 date "1998-12-01" @default.
- W2147641570 modified "2023-09-24" @default.
- W2147641570 title "An Asymptotically Optimal Adaptive Selection Procedure in the Proportional Hazards Model with Conditionally Independent Censoring" @default.
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- W2147641570 doi "https://doi.org/10.1002/(sici)1521-4036(199812)40:8<963::aid-bimj963>3.0.co;2-4" @default.
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