A Transmuted Power Gompertz Distribution: Properties and Applications

Authors

  • Innocent Boyle Eraikhuemen Department of Physical Sciences, Benson Idahosa University, Benin City, Nigeria.
  • Terna Godfrey Ieren Department of Statistics and Operations Research, MAUTech, P.M.B. 2076, Yola, Nigeria.
  • Adana’a Felix Chama Department of Mathematical Sciences, Taraba State University, Jalingo, Nigeria.
  • Abraham Iorkaa Asongo Department of Statistics and Operations Research, Modibbo Adama University of Technology (MAUTech), P.M.B. 2076, Yola, Nigeria.
  • Bassa Shiwaye Yakubu Department of General Studies Education, School of General Education, Federal College of Education, Yola, Adamawa State, Nigeria.
  • Abdul Haruna Bala Department of General Studies Education, School of General Education, Federal College of Education, Yola, Adamawa State, Nigeria.

DOI:

https://doi.org/10.9734/bpi/tpmcs/v9/2394E

Keywords:

Transmuted power Gompertz distribution, statistical properties, estimation of parameters, application and performance

Abstract

This work introduces and studies a new probability distribution called “Transmuted Power Gompertz distribution”. The work studied the properties of the new model. The estimates of the four parameters model were carried out using the method of maximum likelihood estimation. The work further evaluates the goodness-of-fit of the proposed distribution compared to other distributions by means of applications of the model to two real life datasets and the result show that the proposed distribution is more flexible than the fitted existing distributions.

Published

2021-05-04

How to Cite

Innocent Boyle Eraikhuemen, Terna Godfrey Ieren, Adana’a Felix Chama, Abraham Iorkaa Asongo, Bassa Shiwaye Yakubu, & Abdul Haruna Bala. (2021). A Transmuted Power Gompertz Distribution: Properties and Applications. Theory and Practice of Mathematics and Computer Science Vol. 9, 127–145. https://doi.org/10.9734/bpi/tpmcs/v9/2394E