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

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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: K�ery, Marc (Author)
Format: Electronic eBook
Language:Inglés
Published: Burlington, Massachusetts : Elsevier/Academic Press, 2010.
Edition:First edition.
Subjects:
WinBUGS.
WinBUGS
Biometry > Data processing.
Biom�etrie > 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)
Online Access:Texto completo
Table of Contents:
  • 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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