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Quasi Bayesian Estimation of Stress Strength Model for the Power Function Distribution

Publication Type : Journal Article

Publisher : International Journal of Current Research

Source : International Journal of Current Research, Volume 7, Issue 11, p.22921-22927 (2015)

Url : https://www.researchgate.net/publication/308904253_Quasi_Bayesian_Estimation_of_Stress_Strength_Model_for_the_Power_Function_distribution

Keywords : Power Function Distribution, Quasi Bayesian Estimation, Reliability, Stress Strength Model

Campus : Kochi

School : School of Business

Year : 2015

Abstract : The reliability of a system is the probability that when operating under stated environmental conditions, the system will perform its intended function adequately. We consider the strength of the system X and the stress Y as random variables. The component fails at the instant that the stress applied to it exceeds the strength and the component will function satisfactorily whenever XY. The quasi-likelihood function was introduced by Wedderburn (1974) to be used for estimating the unknown parameters in generalized linear models.

Cite this Research Publication : Dr. Dhanya Manayath and Jeevanand E. S., “Quasi Bayesian Estimation of Stress Strength Model for the Power Function Distribution”, International Journal of Current Research, vol. 7, no. 11, pp. 22921-22927, 2015.

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