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Linear dependency
for the difference in exponential regression
Indika Sathish and Diawara Norou
Vol. 3 (2010), No. 2, 215–222
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Abstract |
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In the field of reliability, a lot has been written on the analysis of phenomena that are related. Estimation of the difference of two population means have been mostly formulated under the no-correlation assumption. However, in many situations, there is a correlation involved. This paper addresses this issue. A sequential estimation method for linearly related lifetime distributions is presented. Estimations for the scale parameters of the exponential distribution are given under square error loss using a sequential prediction method. Optimal stopping rules are discussed using concepts of mean criteria, and numerical results are presented. |
Keywords
survival, stopping rule, bivariate exponential
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Mathematical Subject Classification 2000
Primary: 60-00
Secondary: 60-08
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Milestones
Received: 9 November 2009
Revised: 26 March 2010
Accepted: 18 April 2010
Published: 11 August 2010
Communicated by Kenneth S. Berenhaut
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Authors |
| Indika Sathish | |
| Old Dominion University Department of Mathematics and Statistics 4700 Elkhorn Avenue Norfolk, VA 23529 United States |
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| Diawara Norou | |
| Old Dominion University Department of Mathematics and Statistics 4700 Elkhorn Avenue Norfolk, VA 23529 United States |
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| http://www.odu.edu/~ndiawara | |
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