| Full text | |
| Author(s): |
Ferrari, Silvia L. P.
;
Fumes, Giovana
Total Authors: 2
|
| Document type: | Journal article |
| Source: | AStA-Advances in Statistical Analysis; v. 101, n. 3, p. 321-344, JUL 2017. |
| Web of Science Citations: | 2 |
| Abstract | |
We introduce and study the Box-Cox symmetric class of distributions, which is useful for modeling positively skewed, possibly heavy-tailed, data. The new class of distributions includes the Box-Cox t, Box-Cox Cole-Green (or Box-Cox normal), Box-Cox power exponential distributions, and the class of the log-symmetric distributions as special cases. It provides easy parameter interpretation, which makes it convenient for regression modeling purposes. Additionally, it provides enough flexibility to handle outliers. The usefulness of the Box-Cox symmetric models is illustrated in a series of applications to nutritional data. (AU) | |
| FAPESP's process: | 12/21788-2 - Regression models and applications |
| Grantee: | Heleno Bolfarine |
| Support Opportunities: | Research Projects - Thematic Grants |