Confidence bands for exponential distribution functions under progressive type-II censoring

ed on a progressively type-II censored sample from the exponential distribution with unknown location and scale parameter, confidence bands are proposed for underlying function by using regions parameters Kolmogorov–Smirnov type statistics. Simple explicit representations boundaries coverage probabilities of analytically derived, performance is compared in terms band width area means data example. As by-product, novel region location-scale parameter obtained. Extensions results to related models ordered data, such as sequential order statistics, well other families distributions discussed.