| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 11029699 | Statistics & Probability Letters | 2019 | 15 Pages |
Abstract
We provide consistent and asymptotic normal estimators of correlation that corrects the bias induced by partial samples. Through examples, we show that the estimators behave well in small-sample and yields powerful methodologies for non-linear regression as well as dependence testing.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Pierre-André G. Maugis,