On selecting the best natural exponential families with quadratic variance function
We consider a problem of selecting a best of k one parameter exponential families with quadratic variance functions which is associated with the largest mean. It is shown that the minimax value under the "0-1" loss function is 1 - 1/k. Also the Bayes rules are discussed under the "0-1" loss and the other loss functions.
Year of publication: |
1995
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Authors: | Abughalous, Mansour M. ; Bansal, Naveen K. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 25.1995, 4, p. 341-349
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Publisher: |
Elsevier |
Keywords: | Natural exponential families with quadratic variance function Minimax value Bayes selection rules Selection |
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