An academic publishing model in which journals do not charge fees to either authors or readers.

Average time for first decision (excluding desk-rejections): 5 weeks

Animal Biodiversity and Conservation. Volume 27.1 (2004) Pages: 561-572

Methods for investigating parameter redundancy

Gimenez, O., Viallefont, A., Catchpole, E. A., Choquet, R., Morgan, B. J. T.

Download

PDF

Abstract

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.

Keywords

Mark-recapture data, Mark-recovery data, Profile-likelihood, Analytical-numerical method, Symbolic algebra software

Cite

Gimenez, O., Viallefont, A., Catchpole, E. A., Choquet, R., Morgan, B. J. T., 2004. Methods for investigating parameter redundancy. Animal Biodiversity and Conservation, 27: 561-572

Share

Visits

719

Downloads

325

Content appears on: