Association of zero-inflated continuous variables

Zero-inflated continuous distributions are used for modeling in many research areas such as health, environment, or insurance. Since classical estimator of Kendall’s ττ becomes biased when applied to such data, we propose an estimator that has a smaller bias and better coverage probability.