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PENDUGAAN FUNGSI INTENSITAS PROSES POISSON PERIODIK DENGAN TREN FUNGSI PANGKAT MENGGUNAKAN METODE TIPE KERNEL

Journal: Comtech (Vol.2, No. 1)

Publication Date:

Authors : ;

Page : 458-466

Keywords : stochastic process; periodic Poisson process; Kernel function; rank function trend;

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Abstract

Stochastic process has an important role in many areas in everyday life, including the customer service process. The number of customers who come to a service center will be different for each particular time. A special form of stochastic process with continuous time and discrete state space is periodic Poisson process, which is a Poisson process with an intensity function of a periodic function. However, on the stochastic modeling of a phenomenon by a periodic Poisson process, the intensity function of the process is generally unknown. Therefore, a method is needed to infer the function. In this article, a Kernel estimator is formulated from a periodic Poisson process with a trend component in a rank function, which is divided into two cases; the identified rank function coefficient and the unidentified rank function coefficient.

Last modified: 2015-11-17 15:50:26