model
   {
      for( i in 1 : N )
      {
      x[i] ~ dlogistic.exp(alpha, lambda)
      }
      
   # Prior distributions of the model parameters   
   
         alpha ~ dunif(0.0, 10.0)
         lambda~ dunif(0, 2.0)      
   }