Parametric inference of Akash distribution for Type-Ⅱ censoring with analyzing of relief times of patients

• Main Author: Tahani A. Abushal
• Format: Article
• Language: English
• Published: AIMS Press 2021-07-01
• Series: AIMS Mathematics
• Subjects: akash distribution; bayes estimators; mles; metropolis-hastings algorithm; type-ⅱ censoring
• Online Access: https://www.aimspress.com/article/doi/10.3934/math.2021627?viewType=HTML

In this paper, the problem of estimating the parameter of Akash distribution applied when the lifetime of the product follow Type-Ⅱ censoring. The maximum likelihood estimators (MLE) are studied for estimating the unknown parameter and reliability characteristics. Approximate confidence interval for the parameter is derived under the s-normal approach to the asymptotic distribution of MLE. The Bayesian inference procedures have been developed under the usual error loss function through Lindley's technique and Metropolis-Hastings algorithm. The highest posterior density interval is developed by using Metropolis-Hastings algorithm. Finally, the performances of the different methods have been compared through a Monte Carlo simulation study. The application to set of real data is also analyzed using proposed methods.