Bild 1 von 1
Galerie
Bild 1 von 1
Bayesian Models: A Statistical Primer for Ecologists
US $40,73
Ca.EUR 35,15
Artikelzustand:
Sehr gut
Buch, das nicht neu aussieht und gelesen wurde, sich aber in einem hervorragenden Zustand befindet. Der Einband weist keine offensichtlichen Beschädigungen auf. Bei gebundenen Büchern ist der Schutzumschlag vorhanden (sofern zutreffend). Alle Seiten sind vollständig vorhanden, es gibt keine zerknitterten oder eingerissenen Seiten und im Text oder im Randbereich wurden keine Unterstreichungen, Markierungen oder Notizen vorgenommen. Der Inneneinband kann minimale Gebrauchsspuren aufweisen. Minimale Gebrauchsspuren. Genauere Einzelheiten sowie eine Beschreibung eventueller Mängel entnehmen Sie bitte dem Angebot des Verkäufers.
- Sofort-KaufenBayesian Models: A Statistical Primer for Ecologists
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Versand:
US $3,99 (ca. EUR 3,44) USPS Media MailTM.
Standort: Seattle, Washington, USA
Lieferung:
Lieferung zwischen Mi, 6. Aug und Fr, 8. Aug nach 94104 bei heutigem Zahlungseingang
Rücknahme:
14 Tage Rückgabe. Käufer zahlt Rückversand. Wenn Sie ein eBay-Versandetikett verwenden, werden die Kosten dafür von Ihrer Rückerstattung abgezogen.
Zahlungen:
Sicher einkaufen
- Gratis Rückversand im Inland
- Punkte für jeden Kauf und Verkauf
- Exklusive Plus-Deals
Der Verkäufer ist für dieses Angebot verantwortlich.
eBay-Artikelnr.:277267256301
Artikelmerkmale
- Artikelzustand
- ISBN
- 9780691159287
Über dieses Produkt
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0691159289
ISBN-13
9780691159287
eBay Product ID (ePID)
207761786
Product Key Features
Number of Pages
320 Pages
Publication Name
Bayesian Models : a Statistical Primer for Ecologists
Language
English
Subject
Life Sciences / Ecology, Probability & Statistics / Bayesian Analysis
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Science
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
24.1 Oz
Item Length
9.4 in
Item Width
7.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
2015-000021
Reviews
"In this uniquely well-written and accessible text, Hobbs and Hooten show how to think clearly in a Bayesian framework about data, models, and linking data with models. They provide the necessary tools to develop, implement, and analyze a wide range of ecologically interesting models. There's something new and exciting in this book for every practicing ecologist." --Aaron M. Ellison, Harvard University, "Hobbs and Hooten provide a complete guide to Bayesian thinking and statistics. This is a book by ecologists for ecologists. One of the powers of Bayesian thinking is how it enables you to evaluate knowledge accumulated through multiple experiments and publications, and this excellent primer provides a firm grounding in the hierarchical models that are now the standard approach to evaluating disparate data sets." --Ray Hilborn, University of Washington, "Tackling an important and challenging topic, Hobbs and Hooten provide non-statistically-trained ecologists with the skills they need to use hierarchical Bayesian models accurately and comfortably. The combination of technical explanations and practical examples is great. This book is a valuable contribution that will be widely used." --Benjamin Bolker, McMaster University, "Hobbs and Hooten provide an important bridge between standard statistical texts and more advanced Bayesian books, even those aimed at ecologists. Ecological models are complex. Building from likelihood to simple and hierarchical Bayesian models, the authors do a superb job of focusing on concepts, from philosophy to the necessary mathematical and statistical tools. This practical and understandable book belongs on the shelves of all scientists and statisticians interested in ecology." --Jay M. Ver Hoef, Statistician, NOAA-NMFS Alaska Fisheries Science Center, "A refreshing and solid read for anyone confused or distracted by Bayesian recipe books." ---Carsten F. Dormann, Quarterly Review of Biology, "A refreshing and solid read for anyone confused or distracted by Bayesian recipe books." --Carsten F. Dormann, Quarterly Review of Biology, "This pitch-perfect exposition shows how Bayesian modeling can be used to quantify our uncertain world. Ecologists--and for that matter, scientists everywhere--are aware of these uncertainties, and this book gives them the understanding to do something about it. Hobbs and Hooten take us on a signposted journey through the culture, construction, and consequences of conditional-probability modeling, readying us to take our own scientific journeys through uncertain landscapes." --Noel Cressie, University of Wollongong, Australia, A refreshing and solid read for anyone confused or distracted by Bayesian recipe books. ---Carsten F. Dormann, Quarterly Review of Biology, "This excellent book is one of the best-written and most complete primers on Bayesian hierarchical modeling I have seen. Hobbs and Hooten anticipate many of the common pitfalls and concerns that arise when non-statisticians are introduced to this material. Researchers across a wide range of disciplines will find this book valuable." --Christopher Wikle, University of Missouri
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
577.01/5195
Synopsis
Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists can understand. Unlike other books on the subject, this one emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians. It begins with a definition of probability and develops a step-by-step sequence of connected ideas, including basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and inference from single and multiple models. This unique book places less emphasis on computer coding, favoring instead a concise presentation of the mathematical statistics needed to understand how and why Bayesian analysis works. It also explains how to write out properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals. This primer enables ecologists to understand the statistical principles behind Bayesian modeling and apply them to research, teaching, policy, and management. Presents the mathematical and statistical foundations of Bayesian modeling in language accessible to non-statisticians Covers basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and more Deemphasizes computer coding in favor of basic principles Explains how to write out properly factored statistical expressions representing Bayesian models, Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists can understand. Unlike other books on the subject, this one emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians. It begins with a definition of probability and develops a step-by-step sequence of connected ideas, including basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and inference from single and multiple models. This unique book places less emphasis on computer coding, favoring instead a concise presentation of the mathematical statistics needed to understand how and why Bayesian analysis works. It also explains how to write out properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals.This primer enables ecologists to understand the statistical principles behind Bayesian modeling and apply them to research, teaching, policy, and management. * Presents the mathematical and statistical foundations of Bayesian modeling in language accessible to non-statisticians* Covers basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and more* Deemphasizes computer coding in favor of basic principles* Explains how to write out properly factored statistical expressions representing Bayesian models, Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists can understand. Unlike other books on the subject, this one emphas
LC Classification Number
QH541.15.S72H63 2015
Artikelbeschreibung des Verkäufers
Info zu diesem Verkäufer
PUGET SOUND AUCTIONS
98,9% positive Bewertungen•40.063 Artikel verkauft
Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe. Mehr erfahrenMehr erfahren
Verkäuferbewertungen (15.209)
- i***t (8)- Bewertung vom Käufer.Letzter MonatBestätigter KaufSeller was responding fast and sent out the item soon after purchase. Item was as advertised and packaged securely. For some reason ebay made it cross the US from west to east two times, but at no fault from the seller. I was very happy with the price I paid for. Would recommend the seller for further purchases.
- l***a (207)- Bewertung vom Käufer.Letzte 6 MonateBestätigter Kaufitem as described, a perfectly working serger. Great price. Item was packed very well. One slight shipping glitch which the seller promptly resolved. Seller is a good communicator. This seller is trustworthy. I would buy from this seller again.
- a***y (8)- Bewertung vom Käufer.Letzte 6 MonateBestätigter Kauf5 stars! I’m so happy with this purchase! The doll arrived super fast, was very well packaged, and in perfect condition. The seller was awesome to work with — fair price, great communication, and everything went smoothly. I highly recommend this seller and would definitely buy from them again. Thank you!Monster High Skullector Greta Gremlins 2 Mattel Creations New (Nr. 286518373202)
Noch mehr entdecken:
- Robert-A. - Heinlein-Belletristik-Bücher,
- Michael-A. - Singer-Sachbuch Bücher,
- Deutsche Bücher Robert-A. - Heinlein-Belletristik,
- Robert-A. - Heinlein-Taschenbuch-Belletristik-Bücher,
- James-A. - Michener-Belletristik-Bücher,
- Michael-A. - Singer-Taschenbuch-Sachbuch Bücher,
- Michael-A. - Singer-Taschenbuch-Lebensführung-, - Motivation- & - Karriere-Sachbuch Bücher über Selbsthilfe,
- Michael-A. - Singer-Lebensführung-, - Motivation- & - Karriere-Sachbuch Deutsche Bücher über Selbsthilfe,
- Michael-A. - Singer-Taschenbuch-Lebensführung-, - Motivation- & - Karriere-Sachbuch Deutsche Bücher über Selbsthilfe