Baye’s Estimation of the Parameters and Reliability Function of Two-Parameter Weibull Distribution
Vinod Kumar, Himanil Joshi, Jitendra Kumar
Abstract
Vinod Kumar, Himanil Joshi, Jitendra Kumar
Abstract
In this paper, Baye’s estimators of the shape parameter (α), scale parameter (β) and reliability function of two-parameter Weibull distribution have been obtained under different priors by using squared error loss functions (SELF). A comparison of the two methods has been made and the results are illustrated using simulation for random samples of different sizes drawn from the two-parameter Weibull distribution with known values of shape parameter (α) and scale parameter (β). A real dataset has also been used to illustrate the results.
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In this paper, Baye’s estimators of the shape parameter (α), scale parameter (β) and reliability function of two-parameter Weibull distribution have been obtained under different priors by using squared error loss functions (SELF). A comparison of the two methods has been made and the results are illustrated using simulation for random samples of different sizes drawn from the two-parameter Weibull distribution with known values of shape parameter (α) and scale parameter (β). A real dataset has also been used to illustrate the results.
Key concepts: Scale parameter, Weibull distribution, Shape parameter, Estimator, Estimation theory, Mathematics, Statistics, Reliability (semiconductor)