Bivariate Length-Biased Exponential Distribution under Progressive Type-II Censoring: Incorporating Random Removal and Applications to Industrial and Computer Science Data

In this paper, we address the analysis of bivariate lifetime data from a length-biased exponential distribution observed under Type II progressive censoring with random removals, where the number of units removed at each failure time follows a binomial distribution. We derive the likelihood function...

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Vydáno v:	Axioms Ročník 13; číslo 10; s. 664
Hlavní autoři:	Fayomi, Aisha, Almetwally, Ehab M., Qura, Maha E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.10.2024
Témata:	Asymptotic methods Bayesian analysis bayesian estimation Bivariate analysis bivariate length-biased exponential distribution Censoring (Statistics) Clinical trials Computer science Confidence intervals Data analysis Distribution (Probability theory) Electronic data processing Estimators Experiments Failure Failure times farlie-gumbel-morgenstern copula Industrial applications loss function Mathematical research maximum likelihood estimation Methods Monte Carlo simulation Parameter estimation Probability distribution functions progressive type-II censoring Random variables Saudi Arabia
ISSN:	2075-1680, 2075-1680
On-line přístup:	Získat plný text
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