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- W3135751929 abstract "This paper presents a new generalization of the extended Gompertz distribution. We defined the so-called exponentiated generalized extended Gompertz distribution, which has at least three important advantages: (i) Includes the exponential, Gompertz, extended exponential and extended Gompertz distributions as special cases; (ii) adds two parameters to the base distribution, but does not use any complicated functions to that end; and (iii) its hazard function includes inverted bathtub and bathtub shapes, which are particularly important because of its broad applicability in real-life situations. The work derives several mathematical properties for the new model and discusses a maximum likelihood estimation method. For the main formulas related to our model, we present numerical studies that demonstrate the practicality of computational implementation using statistical software. We also present a Monte Carlo simulation study to evaluate the performance of the maximum likelihood estimators for the EGEG model. Three real- world data sets were used for applications in order to illustrate the usefulness of our proposal." @default.
- W3135751929 created "2021-03-15" @default.
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- W3135751929 date "2021-02-24" @default.
- W3135751929 modified "2023-10-13" @default.
- W3135751929 title "The Exponentiated Generalized Extended Gompertz Distribution" @default.
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- W3135751929 doi "https://doi.org/10.6339/jds.201904_17(2).0004" @default.
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