Proceedings of the Korean Statistical Society Conference (한국통계학회:학술대회논문집)
- 2000.11a
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- Pages.235-240
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- 2000
Testing Exponentiality of Kullback-Leibler Information Function based on a Step Stress Accelerated Life Test
- Park Byung Gu (Department of Statistics, Kyungpook National University) ;
- Yoon Sang Chul (Department of Statistics, Kyungpook National University)
- Published : 2000.11.01
Abstract
In this paper a test of fit for exponentiality and we propose the estimator of Kullback-Leibler Information functions using the data from accelerated life tests. This acceleration model is assumed to be a tampered random variable model. The procedure is applicable when the exponential parameter based on the data from accelerated life tests is or is not specified under null hypothesis. Using Simulations, the power of the proposed test based on use condition of accelerated life test under alternatives is compared with that of other standard tests in the small sample.
Keywords
- test-of-fit;
- accelerated life tests;
- tampered random variable;
- step stress;
- Kullback-Leibler Information function