Generalized Exponential Power Distribution with Application to Complete and Censored Data

Abstract

The exponential power distribution (EP) is a lifetime model that can exhibit increasing and bathtub hazard rate function. This paper proposed a generalization of EP distribution, named generalized exponential power (GEP) distribution. Some properties of GEP distribution will be investigated. Recurrence relations for single moments of generalized ordered statistics from GEP distribution are established and used for characterizing the GEP distribution. Estimation of the model parameters are derived using maximum likelihood method based on complete sample, type I, type II and random censored samples. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters. Three applications to real data, two with censored data, are provided in order to show the superiority of the proposed model to other models.

The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model

“…[4] introduced the generalization of the complementary EP distribution and compared it with other transmuted generalized distributions. [5] introduced the four-parameter generalized EP distribution which has bimodal right-skewed and nearly symmetric pdf shapes.…”