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Weibull reliability estimation for (2+1) cascade model
Author(s) -
Nada S. Karam,
Ahmed H. Khaleel
Publication year - 2018
Publication title -
international journal of advanced mathematical sciences
Language(s) - English
Resource type - Journals
ISSN - 2307-454X
DOI - 10.14419/ijams.v6i1.9284
Subject(s) - weibull distribution , estimator , reliability (semiconductor) , cascade , reliability engineering , random variable , statistics , matlab , scale (ratio) , mathematics , computer science , engineering , power (physics) , physics , quantum mechanics , chemical engineering , operating system
In this paper endeavors to submit reliability (R) of a special (2+1) stress-strength Cascade model for Weibull distribution. Expressions for the model reliability are obtained when the strength and stress are weibull random variables with known shape and unknown scale parameters. Four different methods (ML, Mo, LS and WLS) are used to estimate the reliability and make a comparison between them in simulation study with program made by MATLAB 2016 using criterion MSE, where it found that the best estimator between the four estimators was ML.