Introduction to WinBUGS for ecologists : a Bayesian approach to regression, ANOVA, mixed models, and related analyses /

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Bayesian statistics has exploded into biology and its sub-disciplines such as ecology over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct their ow...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kéry, Marc (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington, Massachusetts : Elsevier/Academic Press, 2010.
Edición:First edition.
Temas:
WinBUGS.
WinBUGS
Biometry > Data processing.
Biométrie > Informatique.
SCIENCE > Environmental Science (see also Chemistry > Environmental)
NATURE > Ecosystems & Habitats > Wilderness.
NATURE > Ecology.
SCIENCE > Life Sciences > Ecology.
Biometry > Data processing
statistische analyse
statistical analysis
ecologie
ecology
biostatistiek
biostatistics
toegepaste statistiek
applied statistics
bayesiaanse theorie
bayesian theory
studieboeken
textbooks
Applied Statistics
Ecology (General)
Toegepaste statistiek
Ecologie (algemeen)
Acceso en línea:Texto completo
Descripción
Sumario:Bayesian statistics has exploded into biology and its sub-disciplines such as ecology over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct their own standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM), linear mixed (LMM) and generalized linear mixed models (GLMM). Introduction to WinBUGS for Ecologists combines the use of simulated data sets "paired" analyses using WinBUGS (in a Bayesian framework for analysis) and in R (in a frequentist mode of inference) and uses a very detailed step-by-step tutorial presentation style that really lets the reader repeat every step of the application of a given mode in their own research. - Introduction to the essential theories of key models used by ecologists - Complete juxtaposition of classical analyses in R and Bayesian Analysis of the same models in WinBUGS - Provides every detail of R and WinBUGS code required to conduct all analyses - Written with ecological language and ecological examples - Companion Web Appendix that contains all code contained in the book, additional material (including more code and solutions to exercises) - Tutorial approach shows ecologists how to implement Bayesian analysis in practical problems that they face.
Descripción Física:1 online resource (xviii, 302 pages) : illustrations (some color)
Bibliografía:Includes bibliographical references (pages 285-289) and index.
ISBN:0123786061
9780123786067
9781282755666
1282755668
9786612755668
6612755660

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