A new formulation of stress–strength reliability in a regression setup

Bayesian inference on stress–strength reliability is considered when the observations are binary in nature and the covariates affecting the stress and the strength of a component are observable. The posterior is evaluated using Gibbs sampling. The method is illustrated with a data set.