In this paper, we study the estimation of the stress–strength reliability model when the stress
and the strength variables are modeled by two independent but not identically distributed …

We consider estimation of multicomponent stress-strength reliability under classical as well
as Bayesian approaches when stress-strength components follow lognormal distributions …

Stress-strength models are considered of great significance due to their applicability in
varied fields. We address the estimation of the system reliability of a multicomponent stress …

We consider estimation of the multicomponent stress-strength reliability for inverted
exponentiated Rayleigh distributions under progressive Type II censoring. It is assumed that …

When dealing with practical problems of stress–strength reliability, one can work with fatigue
life data and make use of the well‐known relation between stress and cycles until failure. For …

The paper deals with the estimation of multicomponent system reliability where the system
has k components with their strengths X1, X2,… Xk being independently and identically …

Ranked set sampling (RSS) is a statistical technique for data collection that generally leads
to more efficient estimators than competitors based on simple random sampling (SRS). In …

The study of a multicompnent system with k identical components which are independent to
each other is considered in the present work. The components of the system have series …

The neoteric ranked set sampling (NRSS) scheme is an effective design compared to the
usually ranked set sampling (RSS) scheme. Herein, we regard reliability estimation of the …

In this paper, we consider the problem of estimation of R= P (X< Y) R= P (X< Y), when X and
Y are dependent, using bivariate ranked set sampling. The maximum likelihood estimates …