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New copy - Usually dispatched within 4 working days. 515. Codice articolo B9780691089683
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.
Informazioni sull?autore: Steven C. Amstrup researches bears and their ecosystems. His interests include distribution and movement patterns as well as wildlife population dynamics. Trent L. McDonald is a statistician and project manager with Western EcoSystems Technology, Inc. and Adjunct Professor of Statistics at the University of Wyoming. Bryan F. J. Manly is the author of several books on the statistics of natural selection, multivariate analysis, resource selection by animals, research study designs, computer-intensive statistics, and environmental statistics.
Titolo: Handbook of Capture-Recapture Analysis
Casa editrice: Princeton University Press
Data di pubblicazione: 2005
Legatura: Paperback / softback
Condizione: New
Da: The Maryland Book Bank, Baltimore, MD, U.S.A.
paperback. Condizione: Very Good. Used - Very Good. Codice articolo 12-L-1-0196
Quantità: 1 disponibili
Da: Martin Nevers- used & rare books, Oxford, FL, U.S.A.
Glossy Pictorial Softcover. Condizione: Vg. First Printing. 313 pages. A few B/W illustrations scattered through the book. Bottom corner tip of front cover and next few pages lightly creased. Book lightly shelfworn. Photos of book on request. Codice articolo 015848
Quantità: 1 disponibili
Da: Andrew Isles Natural History Books, Prahran, VIC, Australia
Octavo, paperback,313 pp.,black and white photographs, other illustrations, tables. 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. Also available in hardcover [stock id 25665]. Codice articolo 24217
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 1547708
Quantità: 1 disponibili
Da: BennettBooksLtd, San Diego, NV, U.S.A.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-069108968X
Quantità: 1 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 336. Codice articolo 26832846
Quantità: 1 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. 2005. Paperback. Helps biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. This book introduces the methods for data analysis while explaining the theory behind those methods. It is useful for biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process. Editor(s): Amstrup, Steven C.; McDonald, Trent L.; Manly, Bryan F. J. Num Pages: 336 pages, 20 halftones. 6 line illus. 74 tables. BIC Classification: PSAF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 157 x 20. Weight in Grams: 496. . . . . . Codice articolo V9780691089683
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 1547708-n
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 336. Codice articolo 8063633
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Helps biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. This book introduces the methods for data analysis while explaining the theory behind those methods. It is useful for biologists, biometricians, and stati. Codice articolo 447030052
Quantità: Più di 20 disponibili