Advanced search
Start date
Betweenand

Rafael Bráz Azevedo Farias

CV Lattes


Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

graduate at Estatística from Universidade Federal do Ceará (2004) and master's at Probability and Statistics from Universidade de São Paulo (2007). Has experience in Probability and Statistics, focusing on Probability and Statistics, acting on the following subjects: controle estatístico de processos, média móvel, interface entre estatística e outros cursos, grade curricular and distribuições skew-elipticas. (Source: Lattes Curriculum)

Scholarships in Brazil
FAPESP support in numbers * Updated March 28, 2020
Total / Available in English
1 / 1 Completed scholarships in Brazil

Associated processes
Most frequent collaborators in research granted by FAPESP
Contact researcher

Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (1)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FARIAS, RAFAEL B. A.; BRANCO, MARCIA D.. Latent residual analysis in binary regression with skewed link. BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS, v. 26, n. 4, p. 344-357, . Web of Science Citations: 0. (07/03598-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

FARIAS, Rafael Bráz Azevedo. Modelos multivariados binários com funções de ligação assimétricas. Tese (Doutorado) -  Instituto de Matemática e Estatística.  Universidade de São Paulo (USP).  São Paulo.  (07/03598-3

Please report errors in researcher information by writing to: cdi@fapesp.br.
X

Report errors in this page


Error details: