In this article, the problem of estimation of reliability of a ℓ-component system when both the
stress and strength components are assumed to have a power Lindley distribution is …

In this article, the problem of reliability inference of multicomponent stress–strength (MSS)
from Kumaraswamy-G (Kw-G) family of distributions under progressive first failure censoring …

In the classical stress-strength reliability model, the majority of the contributions focus on
estimating system reliability with independent assumptions of stress and strength. In many …

In this article, based on the generalized Type‐II progressive hybrid censoring sample from
the Burr Type‐XII distribution, maximum likelihood and Bayesian inference are discussed …

The stress-strength reliability (SSR) model ϕ= P (Y< X) is used in numerous disciplines like
reliability engineering, quality control, medical studies, and many more to assess the …

Censoring commonly occurs in real-world scenarios, either intentionally or unintentionally.
Unintentional (or accidental) censoring usually happens randomly, ie, it is out of the …

This article considers the non-Bayesian and Bayesian estimation procedures for
multicomponent stress-strength reliability (MSSR) from generalized inverted exponential …

In this article, we draw inferences on stress–strength reliability in a multicomponent system
with non-identical strength components based on the progressively censored data from the …

In order to save experimental cost and to accelerate the execution time in lifetime
experiments, the progressive censoring scheme has become very popular in the last few …

In this paper, the Bayesian and non-Bayesian estimation of ψ= P (X> Y) based on the
progressively first-failure censored data is considered. The X and Y are strength and stress …