Estimating the Reliability Function of (2+1) Cascade Model

Author:

Et al. Khaleel

Abstract

This paper discusses reliability R of the (2+1) Cascade model of inverse Weibull distribution. Reliability is to be found when strength-stress distributed is inverse Weibull random variables with unknown scale parameter and known shape parameter. Six estimation methods (Maximum likelihood, Moment, Least Square, Weighted Least Square, Regression and Percentile) are used to estimate reliability. There is a comparison between six different estimation methods by the simulation study by MATLAB 2016, using two statistical criteria Mean square error and Mean Absolute Percentage Error, where it is found that best estimator between the six estimators is Maximum likelihood estimation method.

Publisher

College of Science for Women

Subject

General Physics and Astronomy,Agricultural and Biological Sciences (miscellaneous),General Biochemistry, Genetics and Molecular Biology,General Mathematics,General Chemistry,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cascade stress-strength reliability for P(X<Y<Z) of (1+1) and (2+1) systems;TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr;2022

2. New White Method of Parameters and Reliability Estimation for Transmuted Power Function Distribution;Baghdad Science Journal;2021-07-20

3. Reliability of one Strength-four Stresses for Lomax Distribution;Journal of Physics: Conference Series;2021-05-01

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