A new one parameter distribution: properties and estimation with applications to complete and type II censored data

The aim of this paper is to propose a new flexible model with one parameter. Several statistical properties and reliability characteristics of the proposed model are discussed. The maximum likelihood method is used to estimate the model parameter under complete and Type II censored samples. Simulation is conducted to estimate both the relative absolute bias and the relative mean square error for the model parameter. Finally, three real data sets are analyzed to investigate the applicability of the proposed model.