Mathematical and statistical formulation of an ecological model with applications
In many cases, modelling of ecosystems results from the setting up of a system of ordinary, non-linear differential equations whose flow variables are functions obtained from experimental data. In this paper we develop a new methodology based on choosing a set of functions so that we are able to adj...
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Published in | Ecological modelling Vol. 101; no. 1; pp. 27 - 40 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.1997
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Subjects | |
Online Access | Get full text |
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Summary: | In many cases, modelling of ecosystems results from the setting up of a system of ordinary, non-linear differential equations whose flow variables are functions obtained from experimental data. In this paper we develop a new methodology based on choosing a set of functions so that we are able to adjust their linear combination using multiple linear regression. Choosing these functions, however, implies the prior consideration of a finite set of analytical functions of ‘elementary type’ and then analyse their compositions up to an order
n, which will be called ‘n-transformed’. These transformed functions are the ones which will then be adjusted. As an application of this new methodology the Mariola model is considered. |
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Bibliography: | P01 1998000597 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0304-3800 1872-7026 |
DOI: | 10.1016/S0304-3800(97)01946-7 |