model
   {
      for( i in 1 : N )
      {
      x[i] ~ dgen.exp(alpha, lambda)
      }
      
   # Prior distributions of the model parameters   
         alpha~ dgamma(0.001, 0.001)
         lambda~ dgamma(0.001, 0.001)   
   }