| Full text | |
| Author(s): |
Fernandez, Mariela
;
Gonzalez-Lopez, Veronica A.
;
Rifo, Laura R.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | MATHEMATICAL METHODS IN THE APPLIED SCIENCES; v. 38, n. 18, p. 7-pg., 2015-12-01. |
| Abstract | |
A family of conjugated distributions for a given type of copulas is defined in this paper. Those copulas can be written as a mixture of d-dimensional parameter exponential functions. The generalized Farlie-Gumbel-Morgenstern copula is an example of this representation. This family is used to illustrate the estimation technique with real data. Also, the applicability of Bayesian predictive approach is shown in an education policy issue by defining goals for the number of students per class that leads to improve their performance at school. Copyright (C) 2014 John Wiley & Sons, Ltd. (AU) | |
| FAPESP's process: | 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat |
| Grantee: | Oswaldo Baffa Filho |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 11/18285-6 - Copula models for educational index generation |
| Grantee: | Mariela Fernández |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 12/06078-9 - Portuguese in time and space: linguistic contact, grammars in competition and parametric change |
| Grantee: | Charlotte Marie Chambelland Galves |
| Support Opportunities: | Research Projects - Thematic Grants |