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 τ becomes biased when applied to such data, we propose an estimator that has a smaller bias and better coverage probability.

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