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
Gespeichert in:
| Autor*in: |
Schofield, Matthew R. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2007 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC 2007 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Environmental and ecological statistics - Springer US, 1994, 16(2007), 3 vom: 08. Dez., Seite 369-387 |
|---|---|
| Übergeordnetes Werk: |
volume:16 ; year:2007 ; number:3 ; day:08 ; month:12 ; pages:369-387 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10651-007-0069-1 |
|---|
| Katalog-ID: |
OLC206658536X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC206658536X | ||
| 003 | DE-627 | ||
| 005 | 20230503045620.0 | ||
| 007 | tu | ||
| 008 | 200819s2007 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10651-007-0069-1 |2 doi | |
| 035 | |a (DE-627)OLC206658536X | ||
| 035 | |a (DE-He213)s10651-007-0069-1-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 310 |q VZ |
| 100 | 1 | |a Schofield, Matthew R. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| 264 | 1 | |c 2007 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC 2007 | ||
| 520 | |a 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. | ||
| 650 | 4 | |a Bayesian | |
| 650 | 4 | |a Hierarchical modeling | |
| 650 | 4 | |a WinBUGS | |
| 700 | 1 | |a Barker, Richard J. |4 aut | |
| 700 | 1 | |a MacKenzie, Darryl I. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Environmental and ecological statistics |d Springer US, 1994 |g 16(2007), 3 vom: 08. Dez., Seite 369-387 |w (DE-627)188856781 |w (DE-600)1284261-8 |w (DE-576)067290140 |x 1352-8505 |7 nnns |
| 773 | 1 | 8 | |g volume:16 |g year:2007 |g number:3 |g day:08 |g month:12 |g pages:369-387 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s10651-007-0069-1 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-UMW | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OLC-IBL | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_4116 | ||
| 951 | |a AR | ||
| 952 | |d 16 |j 2007 |e 3 |b 08 |c 12 |h 369-387 | ||
| author_variant |
m r s mr mrs r j b rj rjb d i m di dim |
|---|---|
| matchkey_str |
article:13528505:2007----::lxbeirrhclakeatrmdlnfrpno |
| hierarchy_sort_str |
2007 |
| publishDate |
2007 |
| allfields |
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 |
| spelling |
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 |
| allfields_unstemmed |
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 |
| allfieldsGer |
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 |
| allfieldsSound |
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 |
| language |
English |
| source |
Enthalten in Environmental and ecological statistics 16(2007), 3 vom: 08. Dez., Seite 369-387 volume:16 year:2007 number:3 day:08 month:12 pages:369-387 |
| sourceStr |
Enthalten in Environmental and ecological statistics 16(2007), 3 vom: 08. Dez., Seite 369-387 volume:16 year:2007 number:3 day:08 month:12 pages:369-387 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Bayesian Hierarchical modeling WinBUGS |
| dewey-raw |
310 |
| isfreeaccess_bool |
false |
| container_title |
Environmental and ecological statistics |
| authorswithroles_txt_mv |
Schofield, Matthew R. @@aut@@ Barker, Richard J. @@aut@@ MacKenzie, Darryl I. @@aut@@ |
| publishDateDaySort_date |
2007-12-08T00:00:00Z |
| hierarchy_top_id |
188856781 |
| dewey-sort |
3310 |
| id |
OLC206658536X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC206658536X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503045620.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2007 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10651-007-0069-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC206658536X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10651-007-0069-1-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">310</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schofield, Matthew R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Flexible hierarchical mark-recapture modeling for open populations using WinBUGS</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hierarchical modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">WinBUGS</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barker, Richard J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">MacKenzie, Darryl I.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental and ecological statistics</subfield><subfield code="d">Springer US, 1994</subfield><subfield code="g">16(2007), 3 vom: 08. Dez., Seite 369-387</subfield><subfield code="w">(DE-627)188856781</subfield><subfield code="w">(DE-600)1284261-8</subfield><subfield code="w">(DE-576)067290140</subfield><subfield code="x">1352-8505</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:3</subfield><subfield code="g">day:08</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:369-387</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10651-007-0069-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-IBL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4116</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2007</subfield><subfield code="e">3</subfield><subfield code="b">08</subfield><subfield code="c">12</subfield><subfield code="h">369-387</subfield></datafield></record></collection>
|
| author |
Schofield, Matthew R. |
| spellingShingle |
Schofield, Matthew R. ddc 310 misc Bayesian misc Hierarchical modeling misc WinBUGS Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| authorStr |
Schofield, Matthew R. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)188856781 |
| format |
Article |
| dewey-ones |
310 - Collections of general statistics |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1352-8505 |
| topic_title |
310 VZ Flexible hierarchical mark-recapture modeling for open populations using WinBUGS Bayesian Hierarchical modeling WinBUGS |
| topic |
ddc 310 misc Bayesian misc Hierarchical modeling misc WinBUGS |
| topic_unstemmed |
ddc 310 misc Bayesian misc Hierarchical modeling misc WinBUGS |
| topic_browse |
ddc 310 misc Bayesian misc Hierarchical modeling misc WinBUGS |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Environmental and ecological statistics |
| hierarchy_parent_id |
188856781 |
| dewey-tens |
310 - Statistics |
| hierarchy_top_title |
Environmental and ecological statistics |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)188856781 (DE-600)1284261-8 (DE-576)067290140 |
| title |
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| ctrlnum |
(DE-627)OLC206658536X (DE-He213)s10651-007-0069-1-p |
| title_full |
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| author_sort |
Schofield, Matthew R. |
| journal |
Environmental and ecological statistics |
| journalStr |
Environmental and ecological statistics |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2007 |
| contenttype_str_mv |
txt |
| container_start_page |
369 |
| author_browse |
Schofield, Matthew R. Barker, Richard J. MacKenzie, Darryl I. |
| container_volume |
16 |
| class |
310 VZ |
| format_se |
Aufsätze |
| author-letter |
Schofield, Matthew R. |
| doi_str_mv |
10.1007/s10651-007-0069-1 |
| dewey-full |
310 |
| title_sort |
flexible hierarchical mark-recapture modeling for open populations using winbugs |
| title_auth |
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| abstract |
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 |
| abstractGer |
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 |
| collection_details |
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 |
| container_issue |
3 |
| title_short |
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS |
| url |
https://doi.org/10.1007/s10651-007-0069-1 |
| remote_bool |
false |
| author2 |
Barker, Richard J. MacKenzie, Darryl I. |
| author2Str |
Barker, Richard J. MacKenzie, Darryl I. |
| ppnlink |
188856781 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10651-007-0069-1 |
| up_date |
2024-07-04T04:49:59.645Z |
| _version_ |
1803622651943452672 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC206658536X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503045620.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2007 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10651-007-0069-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC206658536X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10651-007-0069-1-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">310</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schofield, Matthew R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Flexible hierarchical mark-recapture modeling for open populations using WinBUGS</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hierarchical modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">WinBUGS</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barker, Richard J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">MacKenzie, Darryl I.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental and ecological statistics</subfield><subfield code="d">Springer US, 1994</subfield><subfield code="g">16(2007), 3 vom: 08. Dez., Seite 369-387</subfield><subfield code="w">(DE-627)188856781</subfield><subfield code="w">(DE-600)1284261-8</subfield><subfield code="w">(DE-576)067290140</subfield><subfield code="x">1352-8505</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:3</subfield><subfield code="g">day:08</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:369-387</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10651-007-0069-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-IBL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4116</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2007</subfield><subfield code="e">3</subfield><subfield code="b">08</subfield><subfield code="c">12</subfield><subfield code="h">369-387</subfield></datafield></record></collection>
|
| score |
7.4000483 |