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Main Authors: Babulal, Meena Sanjay, Gauttam, Sunil Kumar, Maheshwari, Aditya
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.08332
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author Babulal, Meena Sanjay
Gauttam, Sunil Kumar
Maheshwari, Aditya
author_facet Babulal, Meena Sanjay
Gauttam, Sunil Kumar
Maheshwari, Aditya
contents In 1990, Jakeman (see \cite{jakeman1990statistics}) defined the binomial process as a special case of the classical birth-death process, where the probability of birth is proportional to the difference between a fixed number and the number of individuals present. Later, a fractional generalization of the binomial process was studied by Cahoy and Polito (2012) (see \cite{cahoy2012fractional}) and called it as fractional binomial process (FBP). In this paper, we study second-order properties of the FBP and the long-range behavior of the FBP and its noise process. We also estimate the parameters of the FBP using the method of moments procedure. Finally, we present the simulated sample paths and its algorithm for the FBP.
format Preprint
id arxiv_https___arxiv_org_abs_2405_08332
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parameter estimation and long-range dependence of the fractional binomial process
Babulal, Meena Sanjay
Gauttam, Sunil Kumar
Maheshwari, Aditya
Statistics Theory
60G22, 60G55
In 1990, Jakeman (see \cite{jakeman1990statistics}) defined the binomial process as a special case of the classical birth-death process, where the probability of birth is proportional to the difference between a fixed number and the number of individuals present. Later, a fractional generalization of the binomial process was studied by Cahoy and Polito (2012) (see \cite{cahoy2012fractional}) and called it as fractional binomial process (FBP). In this paper, we study second-order properties of the FBP and the long-range behavior of the FBP and its noise process. We also estimate the parameters of the FBP using the method of moments procedure. Finally, we present the simulated sample paths and its algorithm for the FBP.
title Parameter estimation and long-range dependence of the fractional binomial process
topic Statistics Theory
60G22, 60G55
url https://arxiv.org/abs/2405.08332