Title :
Estimation of the Intensity Function of a Periodic Poisson Process with Power Function Trend
Author :
Rachmawati, R. ; Budiharto, W.
Author_Institution :
Stat. Dept., Bina Nusantara Univ., Jakarta, Indonesia
Abstract :
In this paper, we construct the estimation for periodic component of the intensity function of a periodic Poisson process in the presence of power function trend by using general kernel function. It is considered the worst case where there is only available a single realization of the Poisson process having intensity which consist of a periodic component and a power function trend, observed in interval [0,n]. It is assumed that the period of the periodic component is known and the slope of the power function trend is unknown. It has been formulated the consistent estimator for the slope and the estimator for the periodic component.
Keywords :
estimation theory; stochastic processes; consistent estimator; intensity function estimation; kernel function; periodic Poisson process; periodic component estimation; power function trend; Educational institutions; Electronic mail; Equations; Estimation; Kernel; Mathematical model; Probability density function; Kernel Function; Periodic Poisson Process; Power Function Tren;
Conference_Titel :
Modelling Symposium (AMS), 2012 Sixth Asia
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1957-7
DOI :
10.1109/AMS.2012.42