A Transmuted Power Gompertz Distribution: Properties and Applications

This paper introduces and investigates the “Transmuted Power Gompertz distribution,” a modern probability distribution. The new model’s properties were investigated in this work. The method of maximum likelihood estimation was used to estimate the four parameters of the model. The work goes on to compare the proposed distribution’s goodness-of-fit to that of other distributions by applying the model to two real-world datasets, and the results show that the proposed distribution is more stable than the fitted current distributions.

Author (s) Details

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.

View Book :- https://stm.bookpi.org/TPMCS-V9/article/view/858

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