Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution.

ABSTRACT: This paper presents an effort to investigate the estimations of the Weibull distribution using an improved adaptive Type-II progressive censoring scheme. This scheme effectively guarantees that the experimental time will not exceed a pre-fixed time. The point and interval estimations using two classical estimation methods, namely maximum likelihood and maximum product of spacing, are considered to estimate the unknown parameters as well as the reliability and hazard rate functions. The approximate confidence intervals of these quantities are obtained based on the asymptotic normality of the maximum likelihood and maximum product of spacing methods. The Bayesian estimations are also considered using MCMC techniques based on the two classical approaches. An extensive simulation study is impl

SUBMITTER: Nassar M 

PROVIDER: S-EPMC11198164 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature