Projetos

Projetos de extensão e de pesquisa desenvolvidos ou em desenvolvimento pelo StatLab

Extensão (Em breve)

Projetos

  1. Contribuir com o PET e empresa junior na divulgação do curso de Estatística do DEMA.

  2. Preparação de material para oferta de curso de Estatística Básica.

  3. Consultoria especializada em Estatística para pessoa física ou jurídica (setor público ou privado).

Pesquisa

Projetos

  1. Modelo de regressão gama inversa com zeros ajustados (Pesquisador(es): 03, Discente(s): 03).

Grupos de Pesquisa

  1. Statlab - Laboratório de Inovação em Estatística.

  2. Modelos de Regressão e aplicações.

  3. Modelos de Sobrevivência e Aplicações.

  4. Métodos Bayesianos.

Publicações

Artigos Científicos nos últimos 5 anos (2020-2024)

  1. Castro, M., Azevedo, C. L. N., & Nobre, J. S. (2024). A Robust Quantile Regression for Bounded Variables based on the Kumaraswamy Rectangular Distribution. Statistics and Computing, 34, 74.

  2. Ribeiro, V. O., Bombrunb, L., Nobre, J. S., Cavalcante, C. C., & Berthoumieu, Y. (2024). A general robust approach for joint modeling of the family of scale mixture of Normal distribution. Signal Processing, 220, 109426.

  3. Mota, A. L., Santos-Neto, M., Neto, M. M., Leão, J., Tomazella, V. L. D., & Louzada, F. (2024). Weighted Lindley regression model with varying precision: estimation, modeling and its diagnostics. Communications in Statistics-Simulation and Computation, 53, 1690-1710.

  4. Fernandes de Oliveira, I. C., Marçal, E., Souza Menezes, C. E. de, Azevedo Farias, R. B., & de Carvalho, M. M. (2024). Enhancing Cognitive Skills in Students with Autism Spectrum Disorder through Game-based Brain-Computer Interface Training. Global Journal of Human Social Sciences, 24, 13-21.

  5. Farias, A. C. da S., Farias, R. B. A., Zylberberg, T. P., Venâncio, L., & Sanches Neto, L. (2024). O ensino situado de zoologia aquática e introdução à oceanografia: autoestudo e relações com os saberes de uma docente. Observatório de la Economía Latinoamericana, 22(5), e4462.

  6. Andrade, J. A. A. (2023). On the Robustness to Outliers of the Student-t Process. Scandinavian Journal of Statistics, 50, 725-749.

  7. Andrade, J. A. A., & Rathie, P. N. (2023). Exact posterior distribution for nonconjugate Pareto models. Advances in Computational Mathematics, 49, 1-16.

  8. Andrade, J. A. A., & Rathie, P. N. (2023). Exact Posterior distribution of risk ratio in the Kumaraswamy–Binomial model. Comptes Rendus Mathematique, 361, 1063-1069.

  9. Freitas, J. V. B., Azevedo, C. L. N., & Nobre, J. S. (2023). A stochastic approximation ECME algorithm to semi-parametric scale mixtures of centred skew normal regression models. Statistics and Computing, 33, 51.

  10. Freitas, J. V. B., Nobre, J. S., Espinheira, P., & Rego, L. C. (2023). Unit gamma regression models for correlated bounded data. Brazilian Journal of Probability and Statistics, 37, 693-719.

  11. Pinho, L. G. B., Nobre, J. S., & Cordeiro, G. M. (2022). Continuous Probability Distributions generated by the PIPE Algorithm. Anais da Academia Brasileira de Ciências, 94, 1-14.

  12. Rocha, M.E.Q.A, Lima, N.A, Pinho, L.G.B., Gondim, D.S.P., Miná, C.P.C., Rocha, E.A.Q.A., Rocha, M.C.T., Nobre, J.S., Pereira, F.T.M., Prakash, P., Maia, F.P.A., Rocha, E.A. (2022). Remote monitoring of pacemakers and defibrillators: Effective and safe in Brazil?. Heart Rhythm O2, 3, 736-742.

  13. Freitas, J. V. B., Nobre, J. S., Bourguignon, M., & Santos-Neto, M. (2022). A new approach to modeling positive random variables with repeated measures. Journal of Applied Statistics, 49, 3784-3803.

  14. Santos-Neto, M., Gómez, Y. M., Gallardo, D. I., & Costa, E. G. (2022). Bayesian modeling for a new cure rate model based on the Nielsen distribution. Brazilian Journal of Probability and Statistics, 36, 807-820.

  15. Martínez-Flórez, G., Azevedo-Farias, R. B., & Tovar-Falón, R. (2022). An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model. Mathematics, 10, 1299.

  16. Martínez-Flórez, G., Azevedo-Farias, R. B., & Tovar-Falón, R. (2022). New Class of Unit-Power-Skew-Normal Distribution and Its Associated Regression Model for Bounded Responses. Mathematics, 10, 3035.

  17. Silva, A. R. S., Azevedo, C. L. N., Bazan, J. L., & Nobre, J. S. (2021). Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, 48, 1998-2021.

  18. Saulo, H., Leão, J. S., Nobre, J. S., & Balakrishnan, N. (2021). A class of asymmetric regression models for left-censored data. Brazilian Journal of Probability and Statistics, 35, 62-84.

  19. Silva, A. R. S., Azevedo, C. L. N., Bazan, J. L., & Nobre, J. S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Brazilian Journal of Probability and Statistics, 35, 749-771.

  20. Ribeiro, V. O., Nobre, J. S., Santos, J. R. S., & Azevedo, C. L. N. (2021). Beta rectangular regression models to longitudinal data. Brazilian Journal of Probability and Statistics, 35, 851-874.

  21. Rocha, C. A., Marques, E. V., Dos Santos, R. P., Saldanha, I., Liliane, C., Cassiano, D. R., Cavalcante, R. (2021). A better understanding of air quality resulting from the effects of the 2020 pandemic in a city in the equatorial region (Fortaleza, Brazil). Environmental Science and Pollution Research, 29, 20921-20938.

  22. Sousa, B. C. de, Sobrinho, P. H. da C., Silva, D. C. da, Nobre, J. S., Netto, F. L. da C. de M., Silva, C. J. L. da, Melo, J. (2021). Avaliação da extrusão de debris gerados pelo retratamento endodôntico utilizando sistemas reciprocantes e limas manuais/ Evaluation of debris extrusion generated by endodontic retreatment using reciprocating Systems and Hand Files. Brazilian Journal of Health Review, 4, 8877-8889.

  23. Freitas, J. V. B., Nobre, J. S., Bourguignon, M., & Santos, M. F. (2021). A new approach to modeling positive random variables with repeated measures. Journal of Applied Statistics, 49, 3784-3803.

  24. Bourguignon, M., Santos-Neto, M., & Castro, M. (2021). A new regression model for positive random variables with skewed and long tail. Metron, 79, 33-55.

  25. Costa, E., Santos-Neto, M., & Leiva, V. (2021). Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions. Symmetry-Basel, 13, 926.

  26. Cavalcanti, A. B., Botter, D. A., Barroso, L. P., Santos-Neto, M., & Cordeiro, G. M. (2021). Improved score tests for exponential family nonlinear models. Communications in Statistics. Theory and Methods (Online), 50, 3731-3745.

  27. Leão, J., Bourguignon, M., Saulo, H., Santos-Neto, M., & Calsavara, V. (2021). The Negative Binomial Beta Prime Regression Model with Cure Rate: Application with a Melanoma Dataset. Journal of Statistical Theory and Practice, 15, 63.

  28. Andrade, J. A. A. (2020). Exact Posterior Computation for the Binomial-Kumaraswamy model. Advances in Computational Mathematics, 46, 1-14.

  29. Nobre, J. S., Singer, J. M., & Batista, M. J. (2020). Improved \(U\)-tests for variance components in one-way random effects models. Brazilian Journal of Probability and Statistics, 34, 464-477.

  30. Oliveira Jr., J. V., Cribari-Neto, F., & Nobre, J. S. (2020). Influence diagnostics and model validation for the generalized extreme value nonlinear regression model. Journal of Statistical Computation and Simulation, 90, 515-549.

  31. Chaves, N. L., Azevedo, C. L. N., Labra, F. V., & Nobre, J. S. (2020). A log Birnbaum-Saunders regression model based on the skew-normal distribution under the centred parameterization. Statistics and Its Interface, 13, 335-346.

  32. Vila, R., Leão, J., Saulo, H., Nabeed, M., & Santos-Neto, M. (2020). On a bimodal Birnbaum-Saunders distribution with applications to lifetime data. Brazilian Journal of Probability and Statistics, 34, 495-518.

  33. Rodrigues, J., Bourguignon, M., Santos-Neto, M., & Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics-Theory and Methods, 49, 2205-2216.

  34. Sousa, M. F., Saulo, H., Santos-Neto, M., & Leiva, V. (2020). On a new mixture-based regression model: simulation and application to data with high censoring. Journal of Statistical Computation and Simulation, 90, 2861-2877.

  35. Pereira, G. H. A., Scudilio, J., Santos-Neto, M., Botter, D. A., & Sandoval, M. C. (2020). A class of residuals for outlier identification in zero adjusted regression models. Journal of Applied Statistics, 47, 1833-1847.