A Comparison Between Weibull and Power Law Model in Estimating Conditional Intensity Function for Rainfall Data
In this paper, we study the conditional intensity function (hazard function) of Weibull and Power law model for rainfall
data. These models are fitted to the daily rainfall data from 2012 to 2016 obtained from Ngurah Rai station, located in
Denpasar Indonesia. The maximum likelihood estimation is used to estimate the parameters of the model. The result shows
that the determination of the value of the conditional intensity on a daily rainfall data indicate that the use of Weibull and
Power Law models for α < 1 provide the same general characteristics, that is for the longer it does not rain, then the
probability of occurrence not rain in the next time interval is getting smaller.