Bivariate regression model Birnbaum-Saunders

• Grant number: 13/25935-2
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2014
• End date: February 28, 2018
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Filidor Edilfonso Vilca Labra
• Grantee: Renata Guimarães Romeiro Agostinho
• Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The purpose of this project is to present a study of inference and Diagnostics analysis in bivariate regression model Birnbaum-Saunders (BS) based on the scale mixture on normal (SMN) distributions.This model represents a robust extension to the context of the bivariate regression model proposed by Rick and Nedelman (1991). This line of study is a supplement to works of Kundu et al. (2010), Kundu et al. (2013), and Vilca et al. (2013). We will be following the same ways considered in the univariate log-linear regressiom BS, both from view point of the estimation as well as the diagnostics analysis (Cook, 1986; Zhu and Lee, 2001). (AU)

Scientific publications

(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)

ROMEIRO, RENATA G.; VILCA, FILIDOR; BALAKRISHNAN, N.. A robust multivariate Birnbaum-Saunders distribution: EM estimation. STATISTICS, v. 52, n. 2, p. 321-344, 2018. (13/25935-2)

Academic Publications

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

AGOSTINHO, Renata Guimarães Romeiro. Generalized multivariate Birnbaum-Saunders regression model. 2018. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica Campinas, SP.