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Regression models and applications


This project aims to study associations among sets of variables using statistical methodologies based on regression models. In this context, we deal with topics that, in the statistical literature, are known as survival analysis, mixed models, beta regression models, item response theory, etc. In particular, we intend to study different formulations for such models, several estimation methods, alternative forms to test hypotheses, statistical properties of estimators and tests. Moreover, it is part of this project to implement the methods computationally and to apply the results to practical problems in several research fields. The results of this project will be published in international journals or textbooks and presented in national and international scientific conferences. Practical applications will benefit investigators who bring their projects to the Applied Statistics Centre of the Institute of Mathematics and Statistics of the University of São Paulo. The conclusion of a considerable number of M.Sc. theses and PhD. dissertations is another of the project objectives. (AU)

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Scientific publications (10)
(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)
MORAN-VASQUEZ, RAUL ALEJANDRO; FERRARI, SILVIA L. P. Box-Cox elliptical distributions with application. METRIKA, v. 82, n. 5, p. 547-571, JUL 2019. Web of Science Citations: 1.
FUMES-GHANTOUS, GIOVANA; FERRARI, SILVIA L. P.; CORRENTE, JOSE EDUARDO. Box-Cox t random intercept model for estimating usual nutrient intake distributions. Statistical Methods and Applications, v. 27, n. 4, p. 715-734, DEC 2018. Web of Science Citations: 0.
CASTELLARES, FREDY; FERRARI, SILVIA L. P.; LEMONTE, ARTUR J. On the Bell distribution and its associated regression model for count data. Applied Mathematical Modelling, v. 56, p. 172-185, APR 2018. Web of Science Citations: 3.
MEDEIROS, FRANCISCO M. C.; FERRARI, SILVIA L. P.; LEMONTE, ARTUR J. Improved inference in dispersion models. Applied Mathematical Modelling, v. 51, p. 317-328, NOV 2017. Web of Science Citations: 1.
FERRARI, SILVIA L. P.; FUMES, GIOVANA. Box-Cox symmetric distributions and applications to nutritional data. AStA-Advances in Statistical Analysis, v. 101, n. 3, p. 321-344, JUL 2017. Web of Science Citations: 2.
GODOI, LUCIANA G.; BRANCO, MARCIA D.; RUGGERI, FABRIZIO. Concentration function for the skew-normal and skew-t distributions, with application in robust Bayesian analysis. BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS, v. 31, n. 2, p. 373-393, MAY 2017. Web of Science Citations: 1.
CIRILLO, MARCELO ANGELO; BARROSO, LUCIA PEREIRA. Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v. 46, n. 3, p. 1895-1905, 2017. Web of Science Citations: 0.
MONTENEGRO, CARLOS; BRANCO, MARCIA. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions. Fisheries Research, v. 181, p. 48-62, SEP 2016. Web of Science Citations: 5.
FUJITA, ANDRE; TAKAHASHI, DANIEL Y.; PATRIOTA, ALEXANDRE G.; SATO, JOAO R. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. STATISTICS IN MEDICINE, v. 33, n. 28, p. 4949-4962, DEC 10 2014. Web of Science Citations: 2.
DE GODOI, LUCIANA GRAZIELA; BRANCO, MARCIA D'ELIA. Bayesian robustness under a skew-normal class of prior distribution. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 55, n. 5, p. 1235-1251, JUL 2014. Web of Science Citations: 0.

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