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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Bibliographic Details
Published in:	Axioms Vol. 13; no. 10; p. 664
Main Authors:	Fayomi, Aisha, Almetwally, Ehab M., Qura, Maha E.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	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
Online Access:	Get full text
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