Improved maximum likelihood estimation of the shape-scale family based on the generalized progressive hybrid censoring scheme

M Maswadah - Journal of Applied Statistics, 2022 - Taylor & Francis
In parametric estimates, the maximum likelihood estimation method is the most popular
method widely used in the social sciences and psychology, although it is biased in situations …

Estimating the entropy of a Weibull distribution under generalized progressive hybrid censoring

Y Cho, H Sun, K Lee - Entropy, 2015 - mdpi.com
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing
problem and reliability analysis. However, the limitation of the progressive hybrid censoring …

Estimation of Entropy for Log‐Logistic Distribution under Progressive Type II Censoring

M Shrahili, AR El-Saeed, AS Hassan… - Journal of …, 2022 - Wiley Online Library
Entropy is a useful indicator of information content that has been used in a number of
applications. The Log‐Logistic (LL) distribution is a probability distribution that is often …

Bayesian and non-Bayesian analysis of exponentiated exponential stress–strength model based on generalized progressive hybrid censoring process

MM Yousef, AS Hassan, HM Alshanbari… - Axioms, 2022 - mdpi.com
In many real-life scenarios, systems frequently perform badly in difficult operating situations.
The multiple failures that take place when systems reach their lower, higher, or extreme …

[HTML][HTML] A novel extension of generalized Rayleigh model with engineering applications

MM Abd El-Raouf, M AbaOud - Alexandria Engineering Journal, 2023 - Elsevier
In this study, we introduce a new flexible distribution constructed by a modification to the
Rayleigh distribution and we referred it as unit generalized Rayleigh distribution (UGRD) …

[HTML][HTML] Objective Bayesian analysis for the differential entropy of the Weibull distribution

MK Shakhatreh, S Dey, MT Alodat - Applied Mathematical Modelling, 2021 - Elsevier
This article addresses the estimation of differential entropy of the Weibull distribution based
on different non-informative prior distributions. We first derive non-informative priors using …

Bayesian Inference for the Entropy of the Rayleigh Model Based on Ordered Ranked Set Sampling

MS Kotb, HA Newer, MM Mohie El-Din - Annals of Data Science, 2024 - Springer
Recently, ranked set samples schemes have become quite popular in reliability analysis
and life-testing problems. Based on ordered ranked set sample, the Bayesian estimators …

Product of spacing estimation of entropy for inverse Weibull distribution under progressive type-II censored data with applications

H Okasha, M Nassar - Journal of Taibah University for Science, 2022 - Taylor & Francis
This paper seeks to estimate the entropy for the inverse Weibull distribution using
progressively Type-II censored data. To reach this objective, the entropy is defined through …

Estimation of entropy for inverse Weibull distribution under multiple censored data

AS Hassan, AN Zaky - Journal of Taibah University for Science, 2019 - Taylor & Francis
Entropy is a measure of uncertainty in a random variable which quantifies the expected
value of the information contained in that random variable. This article estimates the …

Estimation of entropy for inverse Lomax distribution under multiple censored data

RAR Bantan, M Elgarhy, C Chesneau, F Jamal - Entropy, 2020 - mdpi.com
The inverse Lomax distribution has been widely used in many applied fields such as
reliability, geophysics, economics and engineering sciences. In this paper, an unexplored …