Stochastic and deterministic models for agricultural production networks

An approach to modeling the impact of disturbances in anagricultural production network is presented. A stochastic modeland its approximate deterministic model for averages over samplepaths of the stochastic system are developed. Simulations,sensitivity and generalized sensitivity analyses are given...

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Main Authors: P. Bai, H.T. Banks, S. Dediu, A.Y. Govan, M. Last, A.L. Lloyd, H.K. Nguyen, M.S. Olufsen, G. Rempala, B.D. Slenning
Format: Article
Language:English
Published: AIMS Press 2007-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.373
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author P. Bai
H.T. Banks
S. Dediu
A.Y. Govan
M. Last
A.L. Lloyd
H.K. Nguyen
M.S. Olufsen
G. Rempala
B.D. Slenning
author_facet P. Bai
H.T. Banks
S. Dediu
A.Y. Govan
M. Last
A.L. Lloyd
H.K. Nguyen
M.S. Olufsen
G. Rempala
B.D. Slenning
author_sort P. Bai
collection DOAJ
description An approach to modeling the impact of disturbances in anagricultural production network is presented. A stochastic modeland its approximate deterministic model for averages over samplepaths of the stochastic system are developed. Simulations,sensitivity and generalized sensitivity analyses are given.Finally, it is shown how diseases may be introduced into thenetwork and corresponding simulations are discussed.
format Article
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institution Kabale University
issn 1551-0018
language English
publishDate 2007-04-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-f1106759499f49e28704288c204a6f3b2025-01-24T01:53:48ZengAIMS PressMathematical Biosciences and Engineering1551-00182007-04-014337340210.3934/mbe.2007.4.373Stochastic and deterministic models for agricultural production networksP. Bai0H.T. Banks1S. Dediu2A.Y. Govan3M. Last4A.L. Lloyd5H.K. Nguyen6M.S. Olufsen7G. Rempala8B.D. Slenning9Department of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCDepartment of Statistics, University of North Carolina, Hill, NCAn approach to modeling the impact of disturbances in anagricultural production network is presented. A stochastic modeland its approximate deterministic model for averages over samplepaths of the stochastic system are developed. Simulations,sensitivity and generalized sensitivity analyses are given.Finally, it is shown how diseases may be introduced into thenetwork and corresponding simulations are discussed.https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.373stochasticand deterministic modelssensitivity and generalized sensitivityfunctionsfoot-and-mouth disease.agricultural production networks
spellingShingle P. Bai
H.T. Banks
S. Dediu
A.Y. Govan
M. Last
A.L. Lloyd
H.K. Nguyen
M.S. Olufsen
G. Rempala
B.D. Slenning
Stochastic and deterministic models for agricultural production networks
Mathematical Biosciences and Engineering
stochasticand deterministic models
sensitivity and generalized sensitivityfunctions
foot-and-mouth disease.
agricultural production networks
title Stochastic and deterministic models for agricultural production networks
title_full Stochastic and deterministic models for agricultural production networks
title_fullStr Stochastic and deterministic models for agricultural production networks
title_full_unstemmed Stochastic and deterministic models for agricultural production networks
title_short Stochastic and deterministic models for agricultural production networks
title_sort stochastic and deterministic models for agricultural production networks
topic stochasticand deterministic models
sensitivity and generalized sensitivityfunctions
foot-and-mouth disease.
agricultural production networks
url https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.373
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