Abstract
This research deals with the non-homogeneous Poisson process in a suggested method through mixing two methods of estimation in one method to arrive at the estimate of the rate of occurrence without using common probability distribution and estimating their parameters. A non-parametric method has been applied in a suggested method of estimation.
The practical application includes studying the period of daily rainfall in Mosul Forecasting Station in Neneva. The rate of daily rainfall has been estimated in the static method suggested in the research. The result arrived at in this research has been compared with other results shown by other two estimators. The efficiency of this suggested method becomes clear in estimating the rate of occurrence of events in non-homogenous Poisson process through this comparison.
Keywords: Non-Homogenous Poisson Process, Kernel Estimation, Piecewise Linear Estimation, Rainfall