نتایج جستجو برای: type ii censoring

تعداد نتایج: 1799537  

Journal: :Communications in Statistics - Simulation and Computation 2020

Journal: :Journal of Computational and Applied Mathematics 2009

Akbar Asgharzadeh, Reza Valiollahi,

In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...

Journal: :International Journal of Advanced Statistics and Probability 2014

Journal: :Communications for Statistical Applications and Methods 2008

Journal: :Journal of Statistical Computation and Simulation 2021

ed on a progressively type-II censored sample from the exponential distribution with unknown location and scale parameter, confidence bands are proposed for underlying function by using regions parameters Kolmogorov–Smirnov type statistics. Simple explicit representations boundaries coverage probabilities of analytically derived, performance is compared in terms band width area means data examp...

Journal: :Iranian Journal of Science and Technology Transaction A-science 2022

In this paper, we focus on the parametric inference based Tampered Random Variable (TRV) model for simple step-stress life testing (SSLT) using Type-II censored data. The baseline lifetime of experimental units, under normal stress conditions, follows Gumbel distribution with $\alpha$ and $\lambda$ being shape scale parameters, respectively. Maximum likelihood estimator (MLE) Bayes parameters a...

2015
Abdullah Y. Al-Hossain

Abstract: This paper considers the estimation problem for the Burr type-X, when the lifetimes are collected under Type-II progressive censoring with random removals, where the number of units removed at each failure time follows a binomial distribution. We use the methods of maximum likelihood as well as the Bayes procedure to derive both point and interval estimators of the parameters. The exp...

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