model
{
for( i in 1 : N )
{
x[i] ~ dburrX(alpha, lambda)
}
# Prior distributions of the model parameters
# Uniform priors
alpha ~ dunif(0.1, 5.0)
lambda~ dunif(0.001, 1.0)
}