model
{
for( i in 1 : N )
{
x[i] ~ dweib.modified(alpha, beta, lambda)
}
# Prior distributions of the model parameters
alpha ~ dunif(0.001, 1.0)
beta ~ dunif(0.001, 1.0)
lambda~ dunif(0.001, 1.0)
}