Results 1 to 10 of about 10,940 (163)

Inference for multicomponent stress-strength reliability based on generalized Lindley distribution [PDF]

Scientific Reports
This paper explores the classical and Bayesian estimation of multicomponent stress strength reliability when both the stress and strength variables follow the generalized Lindley distribution. The maximum likelihood (ML) and Bayesian methods are utilized
Fatma Gül Akgül
doaj   +2 more sources

Bayesian Estimation of Multicomponent Stress–Strength Model Using Progressively Censored Data from the Inverse Rayleigh Distribution [PDF]

Entropy
This paper presents a comprehensive study on the estimation of multicomponent stress–strength reliability under progressively censored data, assuming the inverse Rayleigh distribution.
Asuman Yılmaz
doaj   +2 more sources

Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes [PDF]

Scientific Reports, 2023
In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumaraswamy distribution based on progressive Type-II censoring. First, the maximum likelihood estimates and maximum product spacings are derived.
Osama E. Abo-Kasem, Ahmed R. El Saeed, Amira I. El Sayed   +2 more
doaj   +2 more sources

On multicomponent stress–strength reliability for progressively censored logistic exponential model

Alexandria Engineering Journal
The recent era of technological revolution led to the design and development of reliable products with multiple components for multiple functionality which produced a tough situation for manufacturers to test reliability of such products before launching
Amulya Kumar Mahto, Kumar Abhishek, Yogesh Mani Tripathi, Oluwafemi Samson Balogun, Yusra A. Tashkandy, Mahmoud E. Bakr   +5 more
doaj   +2 more sources

Estimation of the Parameters of Power Function Distribution based on Progressively Type-II Right Censoring with Binomial Removal

Statistica, 2023
In this article, we proposed the estimates of unknown parameters of power function distribution in the context of progressive type-II censoring with binomial removals, where the number of units removed at each failure time follows a binomial distribution.
E.I. Abdul Sathar, G.S. Sathyareji
doaj   +1 more source

Bayes Estimators of Exponentiated Inverse Rayleigh Distribution using Lindleys Approximation

Asian Research Journal of Mathematics, 2021
In this paper, Bayes estimators of the unknown shape and scale parameters of the Exponentiated Inverse Rayleigh Distribution (EIRD) have been derived using both the frequentist and bayesian methods. The Bayes theorem was adopted to obtain the posterior distribution of the shape and scale parameters of an Exponentiated Inverse Rayleigh Distribution ...
Kafayat Tolani Uthman, Taiwo Mobolaji Adegoke, Bashiru Omeiza Sule   +2 more
openaire   +2 more sources

Statistical Inference of Stress-Strength Reliability of Gompertz Distribution under Type II Censoring

Advances in Mathematical Physics, 2022
This paper develops the problem of estimating stress-strength reliability for Gompertz lifetime distribution. First, the maximum likelihood estimation (MLE) and exact and asymptotic confidence intervals for stress-strength reliability are obtained. Then,
Z. Karimi Ezmareh, G. Yari
doaj   +1 more source

Bayesian Estimation of Reliability for Multicomponent Stress-Strength Model Based on Topp-Leone Distribution

Wasit Journal for Pure Sciences, 2022
In this paper, the reliability function of a multicomponent stress-strength model was calculated when each stress and strength variable had a Topp-Leone distribution and an identically independent distribution (i.i.d).
Sarah Sabah Akram , Ali Hameed Yousif
doaj   +1 more source

Bayesian and non-Bayesian estimations of truncated inverse power Lindley distribution under progressively type-II censored data with applications

AIP Advances, 2023
In this article, we introduce and study the truncated inverse power Lindley distribution. The aim is to transpose the remarkable flexibility of the two-parameter inverse power Lindley distribution to the interval [0,1].
Mohammed Elgarhy, Aned Al Mutairi, Amal S. Hassan, Christophe Chesneau, Alaa H. Abdel-Hamid   +4 more
doaj   +1 more source

Bayesian Estimations of Shannon Entropy and Rényi Entropy of Inverse Weibull Distribution

Mathematics, 2023
In this paper, under the symmetric entropy and the scale squared error loss functions, we consider the maximum likelihood (ML) estimation and Bayesian estimation of the Shannon entropy and Rényi entropy of the two-parameter inverse Weibull distribution ...
Haiping Ren, Xue Hu
doaj   +1 more source