The Generalized Odd Generalized Exponential Gompertz Distribution with Applications

Authors

  • Gulumbe S. Usman Usmanu Danfodiyo University Sokoto, P. M. B. 2346, Sokoto, Sokoto State, Nigeria.
  • Umar Usman Usmanu Danfodiyo University Sokoto, P. M. B 2346, Sokoto, Sokoto State, Nigeria
  • Aremu Kazeem Olalekan Sefako Makgatho Health Sciences, University, Ga-Rankuwa, Pretoria, South Africa
  • Odeyale, Abideen Babatunde Usmanu Danfodiyo University Sokoto, P. M. B. 2346, Sokoto, Sokoto State, Nigeria

Keywords:

Gompertz distribution, hazard function, moments, maximum likelihood estimation, odd generalized function, T-X family of distributions

Abstract

Communication in Physical Sciences, 2023, 10(1): 163-171

Authors: Gulumbe S. Usman, Umar Usman, Aremu Kazeem Olalekan, Odeyale, Abideen Babatunde

Received:  21 October 2023/Accepted 10 November 2023

This study introduces the generalized odd generalized exponential Gompertz distribution. Some mathematical properties were derived, which increase the subject distribution's flexibility by allowing the model to be used for the analysis of a variety of lifetime data types with hazard rates that are monotonic, upside-down, and bathtub-shaped. The new model includes two additional parameters as a mixture of the odd exponential-G family of distributions. The observed Fisher's information matrix was constructed, and the model parameters were estimated using the maximum likelihood method. Through a numerical analysis using actual data, we demonstrate the effectiveness of the suggested model.

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Author Biographies

Gulumbe S. Usman, Usmanu Danfodiyo University Sokoto, P. M. B. 2346, Sokoto, Sokoto State, Nigeria.

Department of Statistics

Umar Usman, Usmanu Danfodiyo University Sokoto, P. M. B 2346, Sokoto, Sokoto State, Nigeria

Department of Statistics

Aremu Kazeem Olalekan, Sefako Makgatho Health Sciences, University, Ga-Rankuwa, Pretoria, South Africa

Department of Mathematics and Applied Mathematics

Odeyale, Abideen Babatunde , Usmanu Danfodiyo University Sokoto, P. M. B. 2346, Sokoto, Sokoto State, Nigeria

Department of Statistics

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Published

2023-11-11