reliability estimation of a multicomponent stress-strength model underprogressively first-failure censored pareto data

In this paper, the estimation of multicomponent stress-strength reliabilityunder the progressively first-failure censored samples is discussed. it is assumed thatstress and strength are two independent pareto random variables with different shapeparameters. the maximum likelihood and the uniformly minimum variance unbiasedestimates of the reliability are derived. finally, an illustrative example is analyzed.