A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologists
Uniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematics and statistics needed to apply Bayesian models to the analysis of ecological data, using language non-statisticians can understand. Deemphasizing computer coding in favor of a clear treatment of model building, it starts with a definition of probability and proceeds step-by-step through distribution theory, likelihood, simple Bayesian models, and hierarchical Bayesian models. Now revised and expanded, Bayesian Models enables students and practitioners to gain new insights from ecological models and data properly tempered by uncertainty.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
N. Thompson Hobbs is senior research scientist at the Natural Resource Ecology Laboratory and professor emeritus in the Department of Ecosystem Science and Sustainability at Colorado State University. Mevin B. Hooten is professor in the Department of Statistics and Data Sciences at The University of Texas at Austin and a fellow of the American Statistical Association. His books include (with Trevor J. Hefley) Bringing Bayesian Models to Life.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. WP-9780691250120
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. WP-9780691250120
Anzahl: 15 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 410503960
Anzahl: 3 verfügbar
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2025. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780691250120
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 2nd edition. 360 pages. 9.50x6.50x1.00 inches. In Stock. Artikel-Nr. __069125012X
Anzahl: 2 verfügbar
Anbieter: Speedyhen, London, Vereinigtes Königreich
Zustand: NEW. Artikel-Nr. NW9780691250120
Anzahl: 2 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Artikel-Nr. 1781710736
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 2nd edition. 360 pages. 9.50x6.50x1.00 inches. In Stock. Artikel-Nr. x-069125012X
Anzahl: 2 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Bayesian Models | A Statistical Primer for Ecologists, 2nd Edition | N Thompson Hobbs (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Princeton University Press | EAN 9780691250120 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 133552397
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 'A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematics and statistics needed to apply Bayesian models to the analysis of ecological data, using language non-statisticians can understand. Deemphasizing computer coding in favor of a clear treatment of model building, it starts with a definition of probability and proceeds step-by-step through distribution theory, likelihood, simple Bayesian models, and hierarchical Bayesian models. Now revised and expanded, Bayesian Models enables students and practitioners to gain new insights from ecological models and data properly tempered by uncertainty.Covers the basic rules of probability needed to model diverse types of ecological data in the Bayesian frameworkShows how to write proper mathematical expressions for posterior distributions using directed acyclic graphs as templatesExplains how to use the powerful Markov chain Monte Carlo algorithm to find posterior distributions of model parameters, latent states, and missing dataTeaches how to check models to assure they meet the assumptions of model-based inferenceDemonstrates how to make inferences from single and multiple Bayesian modelsProvides worked problems for practicing and strengthening modeling skillsFeatures new chapters on spatial models and modeling missing data'. Artikel-Nr. 9780691250120
Anzahl: 1 verfügbar