Authors :
Ayeni Taiwo Michael; Ogunwale Olukunle Daniel; Odukoya Ayooluwa Elijah
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3NRBFIz
DOI :
https://doi.org/10.5281/zenodo.6808917
Abstract :
In this study we aimed to examine the
performance of Rayleigh and Weibull distributions in
relative to the distribution that will perform better in
fitting the data on rainfall in Ondo State from 2005- 2019.
We used method of maximum likelihood to estimate the
parameters of the distributions. The distributions were
compared using the criteria for selecting the best model fit
such as log-likelihood function, Akaike information
criterion (AIC), and Bayesian information criterion (BIC).
The results obtained show that the Rayleigh distribution
performed better than the Weibull distribution in
comparison in terms of model fit; this indicated that the
Rayleigh distribution is efficient in analyzing the rainfall
data other than the Weibull distribution.
Keywords :
AIC, BIC, Maximum Likelihood, Log-Likelihood, Rayleigh Distribution, Weibull Distribution.
In this study we aimed to examine the
performance of Rayleigh and Weibull distributions in
relative to the distribution that will perform better in
fitting the data on rainfall in Ondo State from 2005- 2019.
We used method of maximum likelihood to estimate the
parameters of the distributions. The distributions were
compared using the criteria for selecting the best model fit
such as log-likelihood function, Akaike information
criterion (AIC), and Bayesian information criterion (BIC).
The results obtained show that the Rayleigh distribution
performed better than the Weibull distribution in
comparison in terms of model fit; this indicated that the
Rayleigh distribution is efficient in analyzing the rainfall
data other than the Weibull distribution.
Keywords :
AIC, BIC, Maximum Likelihood, Log-Likelihood, Rayleigh Distribution, Weibull Distribution.