model
   {
      for( i in 1 : N )
      {
      x[i] ~ dext.weib(alpha, lambda)
      }
      
   # Prior distributions of the model parameters   
   
         alpha ~ dunif(0, 5.0)
         lambda~ dgamma(0.001, 0.001)

   }