[loglogistic_ex0] Log-Logistic Model

   [loglogistic_ex1]
   

   model
   {
      for( i in 1 : N )
      {
            x[i] ~ dlog.logis(beta, theta)
      }
      
   # Prior distributions of the model parameters    
   
         beta ~ dunif(0.1, 10.0)
         theta~ dunif(0.1, 10.0)      
   }

The 40 observations are generated from Log-logistic distribution with beta=3.0 and theta = 5.0

The MLEs are beta.mle= 2.97937, theta.mle= 4.82757


Data ( click to open )

Inits for chain 1        Inits for chain 2     ( click to open )

Results


[loglogistic_ex2]

[loglogistic_ex3]

[loglogistic_ex4]
[loglogistic_ex5]
[loglogistic_ex6]