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Main Authors: Babulal, Meena Sanjay, Gauttam, Sunil Kumar, Maheshwari, Aditya
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.02722
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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 this paper, we estimate the parameters of InG, InG-$ε$ and TInG subordinators which have been studied by Babulal \textit{et al} (see \cite{babulal}). We have modified the method of moments technique to use fractional moments of the InG and InG-$ε$ subordinator due to their infinite moments. For the TInG subordinator's parameter estimation, we have used the method of moments. We also compute the maximum likelihood estimator(MLE) for the parameter $α$ of the InG and InG-$ε$ subordinators using jump distribution of the process. We also discussed the asymptotic normality of MLE.
format Preprint
id arxiv_https___arxiv_org_abs_2604_02722
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Parameter Estimation of Incomplete Gamma Subordinators
Babulal, Meena Sanjay
Gauttam, Sunil Kumar
Maheshwari, Aditya
Statistics Theory
60G22, 60G55
In this paper, we estimate the parameters of InG, InG-$ε$ and TInG subordinators which have been studied by Babulal \textit{et al} (see \cite{babulal}). We have modified the method of moments technique to use fractional moments of the InG and InG-$ε$ subordinator due to their infinite moments. For the TInG subordinator's parameter estimation, we have used the method of moments. We also compute the maximum likelihood estimator(MLE) for the parameter $α$ of the InG and InG-$ε$ subordinators using jump distribution of the process. We also discussed the asymptotic normality of MLE.
title Parameter Estimation of Incomplete Gamma Subordinators
topic Statistics Theory
60G22, 60G55
url https://arxiv.org/abs/2604.02722