A Three-Parameter Exponential Frechet Distribution: Theory and Application

Auteurs

  • Emmanuel Remi Omoboriowo Department of Statistics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria Auteur
  • Biodun T. Efuwape Department of Statistics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria Auteur
  • Timothy O. Olatayo Department of Statistics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria Auteur

DOI:

https://doi.org/10.62054/ijdm/0104.10

Trefwoorden:

Exponential Frechet Distribution, Maximum likelihood estimation(MLE), Parameter

Samenvatting

A novel three-parameter distribution of the Exponential G-family distribution called the Exponential Frechet Distribution has been proposed. Some properties of the model like moment generating function, characteristic function, quantile function, survival function and hazard function were derived.  Bayesian and MLE approach was used to estimate the parameter. The Exponential Frechet Distribution flexibility was demonstrated by both simulation and application to remission time of bladder cancer patients. The results revealed that the Exponential Frechet Distribution yielded a better fit in comparison with other extended distribution.

Referenties

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Gepubliceerd

2024-12-17

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Data is available in clinical trial reports

Citeerhulp

A Three-Parameter Exponential Frechet Distribution: Theory and Application. (2024). International Journal of Development Mathematics (IJDM), 1(4), 124-134. https://doi.org/10.62054/ijdm/0104.10

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