| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151560 | Statistics & Probability Letters | 2015 | 7 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Ronald S. Pimentel, Magdalena Niewiadomska-Bugaj, Jung-Chao Wang,