Multistate Mark–Recapture Model Selection Using Score Tests
Article first published online: 10 MAY 2010
© 2010, The International Biometric Society
Volume 67, Issue 1, pages 234–241, March 2011
How to Cite
McCrea, R. S. and Morgan, B. J. T. (2011), Multistate Mark–Recapture Model Selection Using Score Tests. Biometrics, 67: 234–241. doi: 10.1111/j.1541-0420.2010.01421.x
- Issue published online: 14 MAR 2011
- Article first published online: 10 MAY 2010
- Received February 2009. Revised February 2010. Accepted February 2010.
- Branta canadensis;
- Canada goose;
- Memory model;
- Model selection
Summary Although multistate mark–recapture models are recognized as important, they lack a simple model-selection procedure. This article proposes and evaluates a step-up approach to select appropriate models for multistate mark–recapture data using score tests. Only models supported by the data require fitting, so that over-complicated model structures with too many parameters do not need to be considered. Typically only a small number of models are fitted, and the procedure is also able to identify parameter-redundant and near-redundant models. The good performance of the technique is demonstrated using simulation, and the approach is illustrated on a three-region Canada goose data set. In this case, it identifies a new model that is much simpler than the best model previously considered for this application.