Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel

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 peri...

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Main Author: Ro’fah Nur Rachmawati
Format: Article
Language:English
Published: Bina Nusantara University 2011-06-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2783
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author Ro’fah Nur Rachmawati
author_facet Ro’fah Nur Rachmawati
author_sort Ro’fah Nur Rachmawati
collection DOAJ
description 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.
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spelling doaj.art-5efa1d24d4a445dd997dcda0b0c154512023-09-03T01:59:12ZengBina Nusantara UniversityComTech2087-12442476-907X2011-06-012145846610.21512/comtech.v2i1.27832174Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe KernelRo’fah Nur Rachmawati0Bina Nusantara UniversityStochastic 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.https://journal.binus.ac.id/index.php/comtech/article/view/2783stochastic process, periodic Poisson process, Kernel function, rank function trend
spellingShingle Ro’fah Nur Rachmawati
Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
ComTech
stochastic process, periodic Poisson process, Kernel function, rank function trend
title Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
title_full Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
title_fullStr Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
title_full_unstemmed Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
title_short Pendugaan Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Menggunakan Metode Tipe Kernel
title_sort pendugaan fungsi intensitas proses poisson periodik dengan tren fungsi pangkat menggunakan metode tipe kernel
topic stochastic process, periodic Poisson process, Kernel function, rank function trend
url https://journal.binus.ac.id/index.php/comtech/article/view/2783
work_keys_str_mv AT rofahnurrachmawati pendugaanfungsiintensitasprosespoissonperiodikdengantrenfungsipangkatmenggunakanmetodetipekernel