Parameter Estimation of Lotka-Volterra Model: A Two-Step Model

The deterministic power law logistic model is used to describe density-dependent population growth for cases when ordinary logistic model is found to be insufficient. This paper estimates the parameters of stochastic power law logistic model specifically the Lotka-Volterra model by employing the two...

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Main Authors:	Haliza, Abdul Rahman, Arifah, Bahar, Norhayati, Rosli
Format:	Article
Language:	English English
Published:	Penerbit Universiti Teknologi Malaysia 2013
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/6298/ http://umpir.ump.edu.my/id/eprint/6298/ http://umpir.ump.edu.my/id/eprint/6298/1/Parameter_Estimation_of_Lotka-Volterra_Model-A_Two-Step_Model.pdf http://umpir.ump.edu.my/id/eprint/6298/4/Parameter%20Estimation%20of%20Lotka-Volterra%20Model%20-%20A%20Two-Step%20Model.pdf

id	ump-6298
recordtype	eprints
spelling	ump-62982015-11-30T08:25:27Z http://umpir.ump.edu.my/id/eprint/6298/ Parameter Estimation of Lotka-Volterra Model: A Two-Step Model Haliza, Abdul Rahman Arifah, Bahar Norhayati, Rosli Q Science (General) The deterministic power law logistic model is used to describe density-dependent population growth for cases when ordinary logistic model is found to be insufficient. This paper estimates the parameters of stochastic power law logistic model specifically the Lotka-Volterra model by employing the two-step approach. The Bayesian approach is implemented in the first step of estimating the regression spline parameters. Combining the existing and proposed nonparametric criterion, the structural parameters of SDE are estimated in the second step. Results indicate high percentage of accuracy of the estimated diffusion parameter of Lotka-Volterra model supporting the adequacy of the proposed criterion as an alternative to the classical methods. Penerbit Universiti Teknologi Malaysia 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6298/1/Parameter_Estimation_of_Lotka-Volterra_Model-A_Two-Step_Model.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6298/4/Parameter%20Estimation%20of%20Lotka-Volterra%20Model%20-%20A%20Two-Step%20Model.pdf Haliza, Abdul Rahman and Arifah, Bahar and Norhayati, Rosli (2013) Parameter Estimation of Lotka-Volterra Model: A Two-Step Model. Jurnal Teknologi (Sciences and Engineering), 63 (2). pp. 21-25. ISSN 0127-9696 (print); 2180-3722 (online) http://dx.doi.org/10.11113/jt.v63.1907
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Haliza, Abdul Rahman Arifah, Bahar Norhayati, Rosli Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
description	The deterministic power law logistic model is used to describe density-dependent population growth for cases when ordinary logistic model is found to be insufficient. This paper estimates the parameters of stochastic power law logistic model specifically the Lotka-Volterra model by employing the two-step approach. The Bayesian approach is implemented in the first step of estimating the regression spline parameters. Combining the existing and proposed nonparametric criterion, the structural parameters of SDE are estimated in the second step. Results indicate high percentage of accuracy of the estimated diffusion parameter of Lotka-Volterra model supporting the adequacy of the proposed criterion as an alternative to the classical methods.
format	Article
author	Haliza, Abdul Rahman Arifah, Bahar Norhayati, Rosli
author_facet	Haliza, Abdul Rahman Arifah, Bahar Norhayati, Rosli
author_sort	Haliza, Abdul Rahman
title	Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
title_short	Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
title_full	Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
title_fullStr	Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
title_full_unstemmed	Parameter Estimation of Lotka-Volterra Model: A Two-Step Model
title_sort	parameter estimation of lotka-volterra model: a two-step model
publisher	Penerbit Universiti Teknologi Malaysia
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6298/ http://umpir.ump.edu.my/id/eprint/6298/ http://umpir.ump.edu.my/id/eprint/6298/1/Parameter_Estimation_of_Lotka-Volterra_Model-A_Two-Step_Model.pdf http://umpir.ump.edu.my/id/eprint/6298/4/Parameter%20Estimation%20of%20Lotka-Volterra%20Model%20-%20A%20Two-Step%20Model.pdf
first_indexed	2023-09-18T22:01:56Z
last_indexed	2023-09-18T22:01:56Z
_version_	1777414456479842304

Parameter Estimation of Lotka-Volterra Model: A Two-Step Model

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