Parameter estimation in a structured erythropoiesis model

We develop a numerical method for estimating parameters in astructured erythropoiesis model consisting of a nonlinear system ofpartial differential equations. Convergence theory for the computedparameters is provided. Numerical results for estimating the growthrate of precursor cells as a function o...

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Main Authors: Azmy S. Ackleh, Jeremy J. Thibodeaux
Format: Article
Language:English
Published: AIMS Press 2008-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.601
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author Azmy S. Ackleh
Jeremy J. Thibodeaux
author_facet Azmy S. Ackleh
Jeremy J. Thibodeaux
author_sort Azmy S. Ackleh
collection DOAJ
description We develop a numerical method for estimating parameters in astructured erythropoiesis model consisting of a nonlinear system ofpartial differential equations. Convergence theory for the computedparameters is provided. Numerical results for estimating the growthrate of precursor cells as a function of the erythropoietinconcentration and the decay rate of erythropoietin as a function ofthe total number of precursor cells from computationally generateddata are provided. Standard errors for such parameters are alsogiven.
format Article
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institution Kabale University
issn 1551-0018
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series Mathematical Biosciences and Engineering
spelling doaj-art-27bb55a6e5054971b0699bdcc02cb5712025-01-24T01:58:42ZengAIMS PressMathematical Biosciences and Engineering1551-00182008-09-015460161610.3934/mbe.2008.5.601Parameter estimation in a structured erythropoiesis modelAzmy S. Ackleh0Jeremy J. Thibodeaux1Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010We develop a numerical method for estimating parameters in astructured erythropoiesis model consisting of a nonlinear system ofpartial differential equations. Convergence theory for the computedparameters is provided. Numerical results for estimating the growthrate of precursor cells as a function of the erythropoietinconcentration and the decay rate of erythropoietin as a function ofthe total number of precursor cells from computationally generateddata are provided. Standard errors for such parameters are alsogiven.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.601erythropoiesisstructured modelfinitedifference approximationparameter estimation
spellingShingle Azmy S. Ackleh
Jeremy J. Thibodeaux
Parameter estimation in a structured erythropoiesis model
Mathematical Biosciences and Engineering
erythropoiesis
structured model
finitedifference approximation
parameter estimation
title Parameter estimation in a structured erythropoiesis model
title_full Parameter estimation in a structured erythropoiesis model
title_fullStr Parameter estimation in a structured erythropoiesis model
title_full_unstemmed Parameter estimation in a structured erythropoiesis model
title_short Parameter estimation in a structured erythropoiesis model
title_sort parameter estimation in a structured erythropoiesis model
topic erythropoiesis
structured model
finitedifference approximation
parameter estimation
url https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.601
work_keys_str_mv AT azmysackleh parameterestimationinastructurederythropoiesismodel
AT jeremyjthibodeaux parameterestimationinastructurederythropoiesismodel