New mixed binomial regression models to unbalancing data and extensions
Methods for parameter estimation and model selection in compositional data regression
Linear and non-linear models for censored data using scale mixtures of skew-normal...
| Grant number: | 04/15304-6 |
| Support Opportunities: | Research Projects - Thematic Grants |
| Duration: | May 01, 2006 - April 30, 2011 |
| Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Statistics |
| Principal Investigator: | Heleno Bolfarine |
| Grantee: | Heleno Bolfarine |
| Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Pesquisadores principais: | Gilberto Alvarenga Paula ; Julio da Motta Singer ; Silvia Lopes de Paula Ferrari |
| Associated scholarship(s): | 10/05967-9 - Contiguity of probability measures for the gamma frailty Cox model,
BE.PQ 09/11078-5 - Topics and extensions related to semiparametric mixed models with elliptical errors: estimation methods, hypothesis testing and diagnostic methods, BP.PD |
Abstract
The theme of this project is the study of the association between sets of variables. With this goal, we use statistical methodology based on regression models, understood, here, in a broad sense. Under this perspective, we deal with topics that ... (AU)
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