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

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...

Full description

Saved in:
Bibliographic Details
Published inJournal of agricultural, biological, and environmental statistics Vol. 19; no. 3; pp. 338 - 356
Main Authors McCrea, R. S, Morgan, B. J. T, Pradel, R
Format Journal Article
LanguageEnglish
Published Boston Springer-Verlag 01.09.2014
Springer Science+Business Media, LLC
Springer US
Springer
Springer Verlag
Subjects
Agriculture
Analysis
Biodiversity and Ecology
Biostatistics
data collection
diagnostic techniques
Environmental Sciences
Health Sciences
Mathematics and Statistics
Medical tests
Medicine
Monitoring/Environmental Analysis
Phalacrocorax carbo
Statistics
Statistics for Life Sciences
Trap-effects
Great cormorants
Transience
Multi-site models
Contingency tables
Parameter redundancy
Permanent emigration
CNRS1
Multi-site
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:http://dx.doi.org/10.1007/s13253-014-0174-1
ISSN:1085-7117
1537-2693
DOI:10.1007/s13253-014-0174-1