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Parameters Estimation of Generalized Linear Failure Rate Semi-Markov Reliability Models

A. El-GoharyIdentified author, A. Al-Khedhairi
Vol.11 No.1, 2010.6, 1-16 (16 pages)
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Abstract
In this paper we will discuss the stochastic analysis of a three state semi-Markov reliability model. Maximum likelihood procedure will be used to obtain the estimators of the parameters included in this reliability model. Based on the assumption that the lifetime and repair time of the system units are generalized linear failure rate random variables, the reliability function of this system is obtained. Also, the distribution of the first passage time of this system will be derived. Some important special cases are discussed.

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Abstract
1. INTRODUCTION
2. SEMI-MARKOV KERNEL
3. SEMI-MARKOV MODEL OF STANDBY SYSTEM
4. PARAMETER ESTIMATION
5. ASYPTOTIC CONFIDENCE BOUNDS
6. FIRST PASSAGE AND SYSTEM RELIABILITY
7. CONCLUSION
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