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                                       Details for article 21 of 40 found articles
 
 
  Modelling age variation in survival and reporting rates for recovery models
 
 
Title: Modelling age variation in survival and reporting rates for recovery models
Author: Catchpole, E. A.
Freeman, S. N.
Morgan, B. J. T.
Appeared in: Journal of applied statistics
Paging: Volume 22 (1995) nr. 5-6 pages 597-610
Year: 1995-11-01
Contents: In this paper, we focus on models for recovery data from birds ringed as young. In some cases, it is important to be able to include in these models a degree of age variation in the reporting probability. For certain models this has been found, empirically, to result in completely flat likelihood surfaces, due to parameter redundancy. These models cannot then be fitted to the data, to produce unique parameter estimates. However, empirical evidence also exists that other models with such age variation can be fitted to data by maximum likelihood. Using the approach of Catchpole and Morgan (1996b), we can now identify which models in this area are parameter-redundant, and which are not. Models which are not parameter-redundant may still perform poorly in practice, and this is investigated through examples, involving both real and simulated data. The Akaike Information Criterion is found to select inappropriate models in a number of instances. The paper ends with guidelines for fitting models to data from birds ringed as young, when age dependence is expected in the reporting probability.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 21 of 40 found articles
 
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