In this article, we consider the estimation of the parameters and reliability characteristics of Kumaraswamy distribution using progressively first-failure censored samples. We derive the maximum likelihood estimates using expectation-maximization (EM) algorithm. Simulation studies are conducted in order to evaluate the performance of the point estimators
