Diagnostic Goodness-of-Fit Tests for Joint Recapture and Recovery Models

McCrea, Rachel and Morgan, B.J.T. and Pradel, R. (2014) Diagnostic Goodness-of-Fit Tests for Joint Recapture and Recovery Models. Journal of Agricultural, Biological and Environmental Statistics, 19. 338–356. ISSN 1085-7117

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Abstract

Diagnostic goodness-of-fit tests for capture–recapture models are routinely used prior to model fitting and analysis. However, when data include a mixture of live recaptures and dead recoveries, it is frequently standard practice for the information from recoveries not to be used, so that tests are applied to the recapture data alone. We present new diagnostic tests for joint recapture–recovery data, which make full use of all of the data, and evaluate their power through simulation. The importance of including all available data is clearly shown. We see in addition that current procedures may fail to identify the correct model. The work is generalised to the case of multi-site joint recapture–recovery data and is illustrated on a data set of great cormorants. This article has supplementary material online.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Agricultural, Biological and Environmental Statistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1100/1100
Subjects:
?? contingency tablesgreat cormorantsmulti-site modelsparameter redundancypermanent emigrationtransiencetrap-effectsgeneral agricultural and biological sciencesgeneral environmental scienceapplied mathematicsstatistics and probabilitystatistics, probability ??
ID Code:
176518
Deposited By:
Deposited On:
10 Oct 2022 11:05
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 11:54