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Examples
  • Volume I
    • Contents
    • Rats
    • Pumps
    • Dogs
    • Seeds
    • Surgical
    • Magnesium
    • Salm
    • Equiv
    • Dyes
    • Stacks
    • Epil
    • Blockers
    • Oxford
    • LSAT
    • Bones
    • Inhalers
    • Mice
    • Kidney
    • Leuk
    • LeukFr
  • Volume II
    • Contents
    • Dugongs
    • Orange trees
    • MV Orange trees
    • Biopsies
    • Eyes
    • Hearts
    • Air
    • Cervix
    • Jaw
    • Birats
    • Schools
    • Ice
    • Beetles
    • Alligators
    • Endo
    • Stagnant
    • Asia
    • Pigs
    • Simulating data
  • Volume III
    • Contents
    • Camel
    • Eye Tracking
    • Fire insurance claims
    • Fun Shapes
    • Hepatitis
    • Hips1
    • Hips2
    • Hips3
    • Hips4
    • Jama
    • Pig Weights
    • Pines
    • St Veit
  • Volume IV
    • Contents
    • Seeds
    • Coins
    • Smart phones
    • Abbey
    • Beetles
    • Preeclampsia
    • Lotka-Volterra
    • Five compartment
    • Change points
    • Pollution
    • Methadone
    • Functionals
  • Ecology
    • Contents
    • Gentians
    • Sparrowhawks
    • Birds
    • Lizards
    • Voles
    • Impala
  • GeoBUGS
    • Contents
    • Conditional Autoregressive (CAR) models for disease mapping
    • Convolution priors
    • Proper CAR model
    • Bayesian kriging and spatial prediction
    • Poisson-gamma spatial moving average (convolution) model
    • Poisson-gamma spatial moving average (convolution) model
    • Shared component for mapping multiple diseases
    • Random walk priors for temporal smoothing of daily air pollution estimates
  • ReliaBUGS
    • Contents
    • Birnbuam-Saunders model
    • BurrX model
    • BurrXII model
    • Two Parameter Exponentiated Weibull Example model
    • Exponential Power model
    • Marshal-Olkin Extended Exponential (MOEE) model
    • Marshal-Olkin Extended Weibull model
    • Flexible Weibull model
    • Censored Generalized Exponential model
    • Gompertz model
    • Two Parameter (GP) Exponentiated Weibull Example model
    • Gumbel model
    • Inverse Weibull model
    • Inverse Gaussian model
    • Linear Failure Rate (LFR) model
    • Logistic-Exponential model
    • Log-Logistic model
    • Log-Weibull model
    • Modified Weibull model
    • Weibull-shifted model

Examples Volume 1


   Rats: Normal hierarchical model
   
   Pumps: conjugate gamma-Poisson hierarchical model
   
   Dogs: log linear binary model
   
   Seeds: random effects logistic regression
   
   Surgical: institutional ranking
   
   Magnesium meta-analysis prior sensitivity
   
   Salm: extra-Poisson variation in dose-response study
   
   Equiv: bioequivalence in a cross-over trial
   
   Dyes: variance components model
   
   Stacks: robust and ridge regression
   
   Epil: repeated measures on Poisson counts
   
   Blockers: random effects meta-analysis of 
      clinical trials

   
   Oxford: smooth fit to log-odds ratios in 
      case control studies

   
   LSAT: latent variable models for item-response data
   
   Bones: latent trait model for multiple 
      ordered categorical responses

   
   Inhalers: random effects model for ordinal responses 
      from a cross-over trial

   
   Mice: Weibull regression in censored 
      survival analysis

   
   Kidney: Weibull regression with random effects
   
   Leuk: survival analysis using Cox regression
   
   LeukFr: Cox regression with frailties

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