Contributed Paper C305
Simultaneous Modeling Of Rainfall Quantity And Incidence In Pangasinan Using Poisson-Gamma Distribution
AuthorsJennifer Miguel (Philippines)
Marycel Sajise (Philippines)
PresenterJennifer Miguel (Philippines)
This study aimed to fit a model based from the Poisson-Gamma Distribution for simultaneous data of rainfall quantity and incidence. The characteristics of the data was also investigated using descriptive statistics. The rainfall data from year 2000 to 2016 of Dagupan City was utilized. Dry months were observed from November to April while wet months from May to October of which August recorded the maximum rain. Sine and cosine terms were used as predictors. A single model was derived in predicting the monthly rainfall quantity. Reparametrization of the parameters μ, φ and β was adopted and found to predict the probability of zero rainfall well for all months except for the months of January to April. The model was considered valid though a bootstrapping procedure.