Abstract: In this article, the maximum likelihood estimators of the k independent exponential populations parameters are obtained based on joint progressive type- I censored (JPC-I) scheme. The Bayes estimators are also obtained by considering three different loss functions. The approximate confidence, two Bootstrap confidence and the Bayes credible intervals for the unknown parameters are discussed. A simulated and real data sets are analyzed to illustrate the theoretical results.

Key words: Joint progressive Type-I censored scheme, Maximum likelihood estimation, Confidence bounds, Bootstrap intervals, Bayesian estimation, Squared-error loss, LINEX loss, General entropy loss.