Exponentiated Generalized Inverted Gompertz Distribution: Properties and Estimation Methods with Applications to Symmetric and Asymmetric Data

Abstract

In this article, a new four-parameter lifetime model called the exponentiated generalized inverted Gompertz distribution is studied and proposed. The newly proposed distribution is able to model the lifetimes with upside-down bathtub-shaped hazard rates and is suitable for describing the negative and positive skewness. A detailed description of some various properties of this model, including the reliability function, hazard rate function, quantile function, and median, mode, moments, moment generating function, entropies, kurtosis, and skewness, mean waiting lifetime, and others are presented. The parameters of the studied model are appreciated using four various estimation methods, the maximum likelihood, least squares, weighted least squares, and Cramér-von Mises methods. A simulation study is carried out to examine the performance of the new model estimators based on the four estimation methods using the mean squared errors (MSEs) and the bias estimates. The flexibility of the proposed model is clarified by studying four different engineering applications to symmetric and asymmetric data, and it is found that this model is more flexible and works quite well for modeling these data.

Symmetric and Asymmetric Distributions: Theoretical Developments and Applications III

“…Furthermore, Ref. [7] proposes, related to the Gompertz distribution, a new four-parameter lifetime model denoted the exponentiated generalized inverted Gompertz distribution. This model can represent the lifetimes with upside-down bathtubshaped hazard rates and is suitable for describing cases of negative and positive skewness.…”

“…Refs. [6][7][8]10,14] apply their results using real data pertaining different engineering settings.…”

New Generalized Weibull Inverse Gompertz Distribution: Properties and Applications

“…In recent years, some generalizations of the IG distribution have been introduced to increase its flexibility. For example, the Kumaraswamy inverse Gompertz [21], exponentiated generalized inverted Gompertz [22], extended inverse Gompertz [23], and inverse power Gompertz [24].…”