Journal of the Korean Mathematical Society (대한수학회지)
- Volume 31 Issue 4
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- Pages.709-715
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- 1994
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- 0304-9914(pISSN)
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- 2234-3008(eISSN)
Optimal Bayesian design for discrimination of acceleration models in the exponential distribution
- Park, Choon-Il (Department of Applied Mathematics Korea Maritime University)
- Published : 1994.11.01
Abstract
The aim of of the study is a powerful test for the discrimination and therefore an optimal desin for that purpose. This problem is studied by Chernoff ([5]) and used in Chernoff ([6]) for accelerated life tests using the exponential distribution for life times. The approach used here is similar to that suggested by Lauter ([10]) and used in Chaloner ([3]) and Chaloner and Larntz ([4]) where it is motivated using Bayesian arguments. The approach taken in this paper the loss function $L(\cdot)$ evaluating a test procedure and a design d.
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