Statistical inference for a stochastic generalized logistic differential equation

In this research we aim 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...

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Vydané v:	Communications in nonlinear science & numerical simulation Ročník 139; s. 108261
Hlavní autori:	Baltazar-Larios, Fernando, Delgado-Vences, Francisco, Diaz-Infante, Saul, Gomez, Eduardo Lince
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Biological growth Diffusion bridges Expectation maximization algorithm Maximum likelihood estimation Stochastic generalized logistic differential equation Maximum likelihood estimation 60H10 Stochastic generalized logistic differential equation Expectation maximization algorithm Biological growth 62F10 Diffusion bridges 60H35
ISSN:	1007-5704
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