Morgan, B.J.T. and Gimenez, O. and Choquet, R. and Catchpole, E.A. and Viallefont, A. (2004) Methods for investigating parameter redundancy. Animal Biodiversity and Conservation, 27 (1). pp. 561-572. ISSN 1578665X.
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The quantitative study of marked individuals relies mainly on the use of meaningful biological models. Classical inference is then conducted based on the model likelihood, parameterized by parameters such as survival, recovery, transition and recapture probabilities. In classical statistics, we seek parameter estimates by maximising the likelihood. However, models are often overparameterized and, as a consequence, some parameters cannot be estimated separately. Identifying how many and which (functions of) parameters are estimable is thus crucial not only for proper model selection based upon likelihood ratio tests or information criteria but also for the interpretation of the estimates obtained. In this paper, we provide the reader with a description of the tools available to check for parameter redundancy. We aim to assist people in choosing the most appropriate method to solve their own specific problems.
|Uncontrolled keywords:||Mark-recapture data ; Mark-recovery data ; Profile-likelihood ; Analytical-numerical method ; Symbolic algebra software|
|Subjects:||Q Science > QA Mathematics (inc Computing science)|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics|
|Depositing User:||Judith Broom|
|Date Deposited:||26 Sep 2008 14:27|
|Last Modified:||14 Jan 2010 14:40|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/10517 (The current URI for this page, for reference purposes)|
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