Name
Abstract | ||
|---|---|---|
In this article, we study an extension of the sinh Cauchy model in order to obtain asymmetric bimodality. The behavior of the distribution may be either unimodal or bimodal. We calculate its cumulative distribution function and use it to carry out quantile regression. We calculate the maximum likelihood estimators and carry out a simulation study. Two applications are analyzed based on real data to illustrate the flexibility of the distribution for modeling unimodal and bimodal data. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/sym11070899 | SYMMETRY-BASEL |
Keywords | Field | DocType |
asymmetric bimodal distribution,bimodal,maximum likelihood | Applied mathematics,Mathematical analysis,Maximum likelihood,Cauchy distribution,Hyperbolic function,Cumulative distribution function,Bimodality,Mathematics,Quantile regression,Estimator | Journal |
Volume | Issue | Citations |
11 | 7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yolanda M. Gómez | 1 | 0 | 3.04 |
| Emilio Gómez-Déniz | 2 | 4 | 3.59 |
| Osvaldo Venegas | 3 | 0 | 2.03 |
| Diego I. Gallardo | 4 | 1 | 4.10 |
| Hector Gomez | 5 | 50 | 7.74 |