Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
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Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
Language: English
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Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
Language: English
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Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
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Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
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Published by Princeton University Press, 2015
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Published by Princeton University Press, 2015
ISBN 10: 0691159289 ISBN 13: 9780691159287
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Add to basketCondition: New. Num Pages: 320 pages, 44 line illus. 5 tables. BIC Classification: PBT; PBWH; PSAF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 244 x 162 x 24. Weight in Grams: 686. . 2015. 1st Edition. Hardcover. . . . .
Published by Princeton University Press, 2025
ISBN 10: 069125012X ISBN 13: 9780691250120
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Published by Princeton University Press, 2015
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Published by Princeton University Press, 2015
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Published by Princeton University Press, 2015
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Published by Princeton University Press, 2015
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Published by Princeton University Press, 2025
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Published by Princeton University Press, 2015
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Add to basketCondition: New. Num Pages: 320 pages, 44 line illus. 5 tables. BIC Classification: PBT; PBWH; PSAF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 244 x 162 x 24. Weight in Grams: 686. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Published by Princeton University Press, 2025
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Published by Princeton University Press Jun 2025, 2025
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Add to basketBuch. Condition: 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'.
Published by Princeton University Press, 2025
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Published by Princeton University Press, 2025
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Published by Princeton University Press, 2025
ISBN 10: 069125012X ISBN 13: 9780691250120
Language: English
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Published by Princeton University Press, 2025
ISBN 10: 069125012X ISBN 13: 9780691250120
Language: English
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