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A new extension of inverse length biased exponential model with statistical inference under joint censored samples and application.

Authors :
Abdelwahab, Mahmoud M.
Elbatal, Ibrahim
Elgarhy, Mohammed
Ghorbal, Anis Ben
Semary, H.E.
Almetwally, Ehab M.
Source :
Alexandria Engineering Journal; Jul2024, Vol. 99, p377-393, 17p
Publication Year :
2024

Abstract

In this paper, we introduce a new two-parameter lifetime distribution based on the type II Topp-Leone-G family and the inverse length biased exponential distribution which is called the type II Topp-Leone inverse length biased exponential (TIITL-ILBE) distribution. Various statistical properties of the proposed distribution, including the ordinary moments, moment generating function, incomplete moments, conditional moments, vitality and mean residual life functions, moments of the residual and reversed residual lifetime functions and Rényi entropy are derived. The method of maximum likelihood for estimation and some simulation results for the model parameters of the TIITL-ILBE distribution under complete samples is investigated. Also, The methods of maximum likelihood and Bayesian for estimation and some simulation results for the model parameters of the TIITL-ILBE distribution under joint censored samples is investigated. The real life data set results utilizing that the proposed distribution exhibits greater flexibility and evaluated empirically under complete and joint censored data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11100168
Volume :
99
Database :
Supplemental Index
Journal :
Alexandria Engineering Journal
Publication Type :
Academic Journal
Accession number :
177965875
Full Text :
https://doi.org/10.1016/j.aej.2024.04.068