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Handbook of capture-recapture analysis /

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Amstrup, Steven C. (Editor ), McDonald, Trent L., 1965- (Editor ), Manly, Bryan F. J., 1944- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, N.J. : Princeton University Press, ©2005.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Handbook of capture-recapture analysis /  |c edited by Steven C. Amstrup, Trent L. McDonald, and Bryan F.J. Manly. 
260 |a Princeton, N.J. :  |b Princeton University Press,  |c ©2005. 
300 |a 1 online resource (xviii, 313 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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504 |a Includes bibliographical references (pages 281-299) and index. 
505 0 0 |g Introduction to the handbook /  |r Bryan F.J. Manly [and others] --  |t Classical closed-population capture-recapture models /  |r Anne Chao, Richard M. Huggins --  |t Classical open-population capture-recapture models /  |r Kenneth H. Pollock, Russell Alpizar-Jara --  |t Modern closed-population capture-recapture models /  |r Anne Chao, Richard M. Huggins --  |t Modern open-population capture-recapture models /  |r James D. Nichols --  |t Tag-recovery models /  |r John M. Hoenig [and others] --  |t Joint modeling of tag-recovery and live-resighting data /  |r Richard J. Barker --  |t Multistate models /  |r Carl J. Schwarz --  |t Examples /  |r Trent L. McDonald [and others] --  |t Capture-recapture methods in practice /  |r Bryan F.J. Manly [and others] --  |g Appendix --  |g A.1.  |t Capability matrix for common capture-recapture software packages --  |g A.2.  |t General and contact information for common capture-recapture software packages listed in Table A.1. 
588 0 |a Print version record. 
520 8 |a Annotation  |b Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists. Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process. 
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650 0 |a Animal populations  |x Mathematical models. 
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700 1 |a Amstrup, Steven C.,  |e editor. 
700 1 |a McDonald, Trent L.,  |d 1965-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjHM4GGG7V48QqQmbgKYWC 
700 1 |a Manly, Bryan F. J.,  |d 1944-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJgMG4x4vqwcXrVQP3BgKd 
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