Reliability estimation of a multicomponent stress‐strength model for unit Gompertz distribution under progressive Type II censoring
We consider the problem of estimating multicomponent stress‐strength (MSS) reliability
under progressive Type II censoring when stress and strength variables follow unit …
under progressive Type II censoring when stress and strength variables follow unit …
On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample
A Kohansal - Statistical Papers, 2019 - Springer
Based on progressively Type-II censored samples, this paper deals with the estimation of
multicomponent stress-strength reliability by assuming the Kumaraswamy distribution. Both …
multicomponent stress-strength reliability by assuming the Kumaraswamy distribution. Both …
Unit exponential probability distribution: Characterization and applications in environmental and engineering data modeling
Distributions with bounded support show considerable sparsity over those with unbounded
support, despite the fact that there are a number of real-world contexts where observations …
support, despite the fact that there are a number of real-world contexts where observations …
On estimating the reliability in a multicomponent stress-strength model based on Chen distribution
In this article, we obtain point and interval estimates of multicomponent stress-strength
reliability model of an s-out-of-j system using classical and Bayesian approaches by …
reliability model of an s-out-of-j system using classical and Bayesian approaches by …
Bayesian inference of system reliability for multicomponent stress-strength model under Marshall-Olkin Weibull distribution
L Zhang, A Xu, L An, M Li - Systems, 2022 - mdpi.com
Industrial systems often have redundant structures for improving reliability and avoiding
sudden failures, and a parallel system is one of the special redundant systems. In this paper …
sudden failures, and a parallel system is one of the special redundant systems. In this paper …
A new unit distribution based on the unbounded Johnson distribution rule: the unit Johnson SU distribution
S Gündüz, MÇ Korkmaz - 2020 - openaccess.artvin.edu.tr
This paper proposes a new probability distribution, which belongs a member of the
exponential family, defined on (0, 1) unit interval. The new unit model has been defined by …
exponential family, defined on (0, 1) unit interval. The new unit model has been defined by …
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data
In this paper, the inference of multicomponent stress-strength reliability has been derived
using progressively censored samples from Topp-Leone distribution. Both stress and …
using progressively censored samples from Topp-Leone distribution. Both stress and …
Reliability estimation in a multicomponent stress-strength model for unit Burr III distribution under progressive censoring
We study the problem of estimating multicomponent stress-strength reliability under
progressive Type II censoring when stress and strength variables follow unit Burr III …
progressive Type II censoring when stress and strength variables follow unit Burr III …
Statistical inference for dependent stress–strength reliability of multi-state system using generalized survival signature
In reliability analysis of the stress–strength models, it is generally assumed that an individual
only has one type of strength. However, in some situation, an individual, which has several …
only has one type of strength. However, in some situation, an individual, which has several …
Estimation of reliability in a multicomponent stress–strength model for a general class of inverted exponentiated distributions under progressive censoring
We consider estimation of the multicomponent stress–strength reliability for a general class
of inverted exponentiated distributions under progressive type-II censoring. We assume that …
of inverted exponentiated distributions under progressive type-II censoring. We assume that …