A proposal for a goodness-of-fit test to the ArnasonSchwarz multisite capture-recapture model

Summary. In an analysis of capture-recapture data, the identification of a model that fits is a critical step. For the multisite (also called multistate) models used to analyze data gathered at several sites, no reliable test for assessing fit is currently available. We propose a test for the JMV mo...

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Bibliographic Details
Main Authors: Roger Pradel, Claire M. A. Wintrebert, Olivier Gimenez
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2003
Subjects:
Key words
Canada goose
Cormack-Jolly-Seber
Memory model
Mixture of multinomials
Multistate models
Peeling-pooling
Test3G
TestM
TestWBWA
Unisite models
Canada
Canada Goose
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.4469
http://www.creem.st-and.ac.uk/olivier/Pradeletal2003Biometrics.pdf
Description
Summary:Summary. In an analysis of capture-recapture data, the identification of a model that fits is a critical step. For the multisite (also called multistate) models used to analyze data gathered at several sites, no reliable test for assessing fit is currently available. We propose a test for the JMV model, a simple generalization of the Arnason-Schwarz (AS) model, in the form of interpretable contingency tables. For the AS model, we suggest complementing the test for the JMV model with a likelihood ratio test of AS vs. JMV. The examination of an example leads us to propose further a partitioning that emphasizes the role of the memory model of Brownie et al. (1993 Biometrics 49, 1173–1187) as a biologically more plausible alternative to the AS model.

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