Suppose that the failure times of the units placed on a life-testing experiment are independent but non-identically distributed random variables. Under progressively Type-II censoring scheme, distributional properties of the proposed random variables are presented and some inferences are made. Assuming the random variables come from a proportional hazard rate model, the formulas are simplified and also the amount of Fisher information about the common parameters of this family is calculated. The results are also extended to a fixed covariates model. The performance of the proposed procedure is investigated via a real data set. Some numerical computations are also presented to study the effect of the proportionality rates in view of the Fisher information criterion. Finally, some concluding remarks are stated.

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