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
Tabla de Contenidos:
  • Introduction to the Bayesian Analysis of a Statistical Model
  • WinBUGS
  • A First Session in WinBUGS: The "Model of the Mean"
  • Running WinBUGS from R via R2WinBUGS
  • Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor
  • t-Test: Equal and Unequal Variances
  • Normal Linear Regression
  • Normal One-Way ANOVA
  • Normal Two-Way ANOVA
  • General Linear Model (ANCOVA)
  • Linear Mixed-Effects Model
  • Introduction to the Generalized Linear Model: Poisson "t-test"
  • Overdispersion, Zero-Inflation, and Offsets in the GLM
  • Poisson ANCOVA
  • Poisson Mixed-Effects Model (Poisson GLMM)
  • Binomial "t-Test"
  • Binomial Analysis of Covariance
  • Binomial Mixed-Effects Model (Binomial GLMM)
  • Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model
  • Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance.

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