| Cormack-Jolly-Seber model with environmental covariates: A P-spline approach. | |
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MedLine Citation:
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PMID: 23027314 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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In capture-recapture models, survival and capture probabilities can be modelled as functions of time-varying covariates, such as temperature or rainfall. The Cormack-Jolly-Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear. We extend the CJS model by semi-parametrically modelling capture and survival probabilities using a frequentist approach via P-splines techniques. We investigate the performance of the estimators by conducting simulation studies. We also apply and compare these models with known semi-parametric Bayesian approaches on simulated and real data sets. |
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Authors:
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Jakub Stoklosa; Richard M Huggins |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-10-2 |
Journal Detail:
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Title: Biometrical journal. Biometrische Zeitschrift Volume: - ISSN: 1521-4036 ISO Abbreviation: Biom J Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-2 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7708048 Medline TA: Biom J Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
Affiliation:
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School of Mathematics and Statistics, The University of New South Wales, New South Wales, 2052, Australia. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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