Statistical inference for a stochastic generalized logistic differential equation

Fuente: arXiv
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Hauptverfasser: Baltazar-Larios, Fernando, Delgado-Vences, Francisco, Diaz-Infante, Saul, Gomez, Eduardo Lince
Format: Preprint
Veröffentlicht: 2024
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author Baltazar-Larios, Fernando
Delgado-Vences, Francisco
Diaz-Infante, Saul
Gomez, Eduardo Lince
author_facet Baltazar-Larios, Fernando
Delgado-Vences, Francisco
Diaz-Infante, Saul
Gomez, Eduardo Lince
contents This research aims to estimate three parameters in a stochastic generalized logistic differential equation. We assume the intrinsic growth rate and shape parameters are constant but unknown. To estimate these two parameters, we use the maximum likelihood method and establish that the estimators for these two parameters are strongly consistent. We estimate the diffusion parameter by using the quadratic variation processes. To test our results, we evaluate two data scenarios, complete and incomplete, with fixed values assigned to the three parameters. In the incomplete data scenario, we apply an Expectation Maximization algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03815
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Statistical inference for a stochastic generalized logistic differential equation
Baltazar-Larios, Fernando
Delgado-Vences, Francisco
Diaz-Infante, Saul
Gomez, Eduardo Lince
Methodology
Probability
Statistics Theory
60H10, 60H35, 62F10
This research aims to estimate three parameters in a stochastic generalized logistic differential equation. We assume the intrinsic growth rate and shape parameters are constant but unknown. To estimate these two parameters, we use the maximum likelihood method and establish that the estimators for these two parameters are strongly consistent. We estimate the diffusion parameter by using the quadratic variation processes. To test our results, we evaluate two data scenarios, complete and incomplete, with fixed values assigned to the three parameters. In the incomplete data scenario, we apply an Expectation Maximization algorithm.
title Statistical inference for a stochastic generalized logistic differential equation
topic Methodology
Probability
Statistics Theory
60H10, 60H35, 62F10
url https://arxiv.org/abs/2405.03815