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- W1972203341 abstract "In statistical decision theory, an important question is to characterize the admissible rules. In this paper, we establish complete class theorems for estimating the noncentrality parameter of noncentral chi-square and noncentral $F$ distributions under squared error loss. Under a minor assumption, any admissible estimator must be a generalized Bayes rule. Using this result, we prove that the positive part of the UMVUE is inadmissible." @default.
- W1972203341 created "2016-06-24" @default.
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- W1972203341 date "1987-06-01" @default.
- W1972203341 modified "2023-09-23" @default.
- W1972203341 title "A Complete Class Theorem for Estimating a Noncentrality Parameter" @default.
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- W1972203341 doi "https://doi.org/10.1214/aos/1176350375" @default.
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