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Parameters estimates from various models as “sets of indicators” or “sets for indication” in a data driven approach

Published online by Cambridge University Press:  15 June 2004

Francis Laloë
Francis Laloë*
Affiliation:
UMR 063 C3ED (IRD-UVSQ) IRD, BP 64501, 34394 Montpellier Cedex 5, France
*
[email protected]
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Abstract

A parameter of a model becomes a decision support indicator if it is used as an argument of a decision function. This implies consideration of a wider model than the initial one and to acknowledge its complexity. It is also necessary to include the estimation of parameters in indication theory and to consider a data driven approach. Data analysis leads us to provide sets of indicators. With reference to the statistical concept of sufficiency (Fisher 1925), such a set may also be considered as a set for indication, equivalent to the original data for any subsequent purpose of indication. From the same data set, several models may be built providing different sets for indication. None of them can be considered as the best; this depends both on the context (e.g. fishing practices) and on the addressed questions. No model must be chosen to the exclusion of alternatives: an illustration is given with models in relation to a catch-effort data set, with a case study on Senegalese small scale fisheries.

Keywords

ModelParameterSet of indicatorsSet for indicationEstimationSufficient statisticData driven approachFisheries system dynamics
Type
Research Article
Information
Aquatic Living Resources , Volume 17 , Issue 2 , April 2004 , pp. 107 - 117
Copyright
© EDP Sciences, IFREMER, IRD, 2004

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