Inference for a Kavya–Manoharan Inverse Length Biased Exponential Distribution under Progressive-Stress Model Based on Progressive Type-II Censoring

Inference for a Kavya–Manoharan Inverse Length Biased Exponential Distribution under Progressive-Stress Model Based on Progressive Type-II Censoring

In this article, a new one parameter survival model is proposed using the Kavya–Manoharan (KM) transformation family and the inverse length biased exponential (ILBE) distribution. Statistical properties are obtained: quantiles, moments, incomplete moments and moment generating function. Different ty...

Full description

Bibliographic Details
Main Authors: Naif Alotaibi, Atef F. Hashem, Ibrahim Elbatal, Salem A. Alyami, A. S. Al-Moisheer, Mohammed Elgarhy
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Entropy
Subjects:
progressive-stress model
progressive censoring
maximum likelihood estimation
maximum product spacing
Kavya–Manoharan class of distributions
inverse length biased exponential distribution
Online Access:https://www.mdpi.com/1099-4300/24/8/1033

Internet

https://www.mdpi.com/1099-4300/24/8/1033

Similar Items