Flexible hierarchical mark-recapture modeling for open populations using WinBUGS
Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of...
Ausführliche Beschreibung
Autor*in: |
Schofield, Matthew R. [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2007 |
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Schlagwörter: |
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Anmerkung: |
© Springer Science+Business Media, LLC 2007 |
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Übergeordnetes Werk: |
Enthalten in: Environmental and ecological statistics - Springer US, 1994, 16(2007), 3 vom: 08. Dez., Seite 369-387 |
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Übergeordnetes Werk: |
volume:16 ; year:2007 ; number:3 ; day:08 ; month:12 ; pages:369-387 |
Links: |
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DOI / URN: |
10.1007/s10651-007-0069-1 |
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OLC206658536X |
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10.1007/s10651-007-0069-1 doi (DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p DE-627 ger DE-627 rakwb eng 310 VZ Schofield, Matthew R. verfasserin aut Flexible hierarchical mark-recapture modeling for open populations using WinBUGS 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. Bayesian Hierarchical modeling WinBUGS Barker, Richard J. aut MacKenzie, Darryl I. aut Enthalten in Environmental and ecological statistics Springer US, 1994 16(2007), 3 vom: 08. Dez., Seite 369-387 (DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 1352-8505 nnns volume:16 year:2007 number:3 day:08 month:12 pages:369-387 https://doi.org/10.1007/s10651-007-0069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4116 AR 16 2007 3 08 12 369-387 |
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10.1007/s10651-007-0069-1 doi (DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p DE-627 ger DE-627 rakwb eng 310 VZ Schofield, Matthew R. verfasserin aut Flexible hierarchical mark-recapture modeling for open populations using WinBUGS 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. Bayesian Hierarchical modeling WinBUGS Barker, Richard J. aut MacKenzie, Darryl I. aut Enthalten in Environmental and ecological statistics Springer US, 1994 16(2007), 3 vom: 08. Dez., Seite 369-387 (DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 1352-8505 nnns volume:16 year:2007 number:3 day:08 month:12 pages:369-387 https://doi.org/10.1007/s10651-007-0069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4116 AR 16 2007 3 08 12 369-387 |
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10.1007/s10651-007-0069-1 doi (DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p DE-627 ger DE-627 rakwb eng 310 VZ Schofield, Matthew R. verfasserin aut Flexible hierarchical mark-recapture modeling for open populations using WinBUGS 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. Bayesian Hierarchical modeling WinBUGS Barker, Richard J. aut MacKenzie, Darryl I. aut Enthalten in Environmental and ecological statistics Springer US, 1994 16(2007), 3 vom: 08. Dez., Seite 369-387 (DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 1352-8505 nnns volume:16 year:2007 number:3 day:08 month:12 pages:369-387 https://doi.org/10.1007/s10651-007-0069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4116 AR 16 2007 3 08 12 369-387 |
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10.1007/s10651-007-0069-1 doi (DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p DE-627 ger DE-627 rakwb eng 310 VZ Schofield, Matthew R. verfasserin aut Flexible hierarchical mark-recapture modeling for open populations using WinBUGS 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. Bayesian Hierarchical modeling WinBUGS Barker, Richard J. aut MacKenzie, Darryl I. aut Enthalten in Environmental and ecological statistics Springer US, 1994 16(2007), 3 vom: 08. Dez., Seite 369-387 (DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 1352-8505 nnns volume:16 year:2007 number:3 day:08 month:12 pages:369-387 https://doi.org/10.1007/s10651-007-0069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4116 AR 16 2007 3 08 12 369-387 |
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10.1007/s10651-007-0069-1 doi (DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p DE-627 ger DE-627 rakwb eng 310 VZ Schofield, Matthew R. verfasserin aut Flexible hierarchical mark-recapture modeling for open populations using WinBUGS 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. Bayesian Hierarchical modeling WinBUGS Barker, Richard J. aut MacKenzie, Darryl I. aut Enthalten in Environmental and ecological statistics Springer US, 1994 16(2007), 3 vom: 08. Dez., Seite 369-387 (DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 1352-8505 nnns volume:16 year:2007 number:3 day:08 month:12 pages:369-387 https://doi.org/10.1007/s10651-007-0069-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4116 AR 16 2007 3 08 12 369-387 |
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Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. © Springer Science+Business Media, LLC 2007 |
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Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. © Springer Science+Business Media, LLC 2007 |
abstract_unstemmed |
Abstract Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence. © Springer Science+Business Media, LLC 2007 |
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