• Survival analysis, Computational statistics, Time series, Regression models, Statistical learning, Censoring methodologies, Distribution theory, Spatial statistics and Mathematical statistics.

1. Leão, J., Bourguignon, Saulo, H., Santos-Neto, M., and Calsavara, V.F. (2021). The negative binomial beta prime regression model with cure rate: application with a melanoma dataset. Journal of Statistical Theory and Practice. 15, 63. (link)

2. de Freitas, J.V.B., Nobre, J., Bourguignon, M., and Santos-Neto, M. (2021). A new approach to modelling positive data with repeated measures. Journal of Applied Statistics. (online)

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

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

5. Bourguignon, M., Santos-Neto, M. and De Castro, M. (2021). A new regression model for positive random variables with skewed and long tail. Metron. 29, 33-55. (link)

6. Rodrigues, J., Bourguignon, M., Santos-Neto, M. and Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) process. Communications in Statistics – Theory and Methods., 49(9), 2205-2216. (link)

7. Vila, R., Leão, J., Saulo, H., Shahzad, M.N. and Santos-Neto, M. (2020). On a bimodal Birnbaum-Saunders distribution with applications to lifetime data. Brazilian Journal of Probability and Statistics, 34(3), 495-518. (link)

8. Pereira, G.H., Rodrigues, J.S., Santos-Neto, M., Botter, D.A. and Sandoval, M.C. (2020). A class of residuals for outlier identification in zero adjusted regression models. Journal of Applied Statistics, 47(10), 1833-1847. (link)

9. Desousa, M.F., Saulo, H., Santos-Neto, M. and 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(16), 2861-2877. (link)

10. Saulo, H., Leão, J. and Santos-Neto, M. (2019) Discussion of "Birnbaum-Saunders Distribution: A Review of Models, Analysis and Applications" by N. Balakrishnan and Debasis Kundu. Applied Stochastic Models in Business and Industry. 35(1), 118-121. (link)

11. Bourguignon, M., Rodrigues, J. and Santos-Neto, M. (2019). Extended Poisson INAR(1) process with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics. 45(1), 101-118. (link)

12. Tomazella, V., Pereira, G.H., Nobre, J.S. and Santos-Neto, M. (2019). Zero-adjusted Reparameterized Birnbaum-Saunders regression model . Statistics & Probability Letters. 149, 142-145. (link)

13. Barros, M., Galea, M., Leiva, V. and Santos-Neto, M. (2018). Generalized tobit models: diagnostics and application in econometrics. Journal of Applied Statistics. 45(1), 145-167. (link)

14. Bourguignon, M., Leão, J., Leiva, V. and Santos-Neto, M. (2017). The transmuted Birnbaum-Saunders distribution. Revstat Statistical Journal. 15(4), 601-628.(link)

15. Leiva, V., Santos-Neto, M., Cysneiros, F.J.A. and Barros, M. (2016) A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution. Applied Stochastic Models in Business and Industry. 32, 74-89.(link)

16. Santos-Neto, M., Cysneiros, F.J.A., Leiva, V. and Barros, M. (2016). Reparameterized Birnbaum-Saunders regression models with varying precision. Eletronic Statistical Journal. 10, 2825-2855. (link)

17. Leiva, V, Santos-Neto, M., Cysneiros, F.J.A. and Barros, M. (2014) Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling, 14(1), 21-48. (link)

18. Nascimento, A.D.C, Bourguignon, M, Zea, L.M., Santos-Neto, M., Silva, R. B. and Cordeiro, G.M. (2014). The gamma extended Weibull family of distributions. Journal of Statistical Theory and Applications. 13, 1-16. (link)

19. Santos-Neto, M., Cysneiros, F.J.A., Leiva, V. and Barros, M. (2014) On a reparameterized Birnbaum-Saunders distribution and its moments, estimation and application. Revstat Statistical Journal. 12, 247-272. (link)

20. Santos-Neto, M., Bourguignon, M., Zea, L., M., Nascimento, A.D.C. and Cordeiro, G.M. (2014) The Marshall-Olkin extended Weibull family of distributions. Journal of Statistical Distributions and Applications. 1, pag 9. (link)

21. Saulo, H., Santos-Neto, M., Leão, J. e Vasconcelos, J. (2013) Estimação por máxima verossimilhança dos parâmetros da distribuição Birnbaum-Saunders usando C, Ox e R. Revista Brasileira de Estatística. 74, 7-19. (link)

22. Santos-Neto, M., Cysneiros, F. J. A., Leiva, V. and Ahmend, S. E. (2012) On new parameterizations of the Birnbaum-Saunders distribution. Pak. J. Statist., 28(1), 1-26 (link)

23. Marciano, F. W. P., Nascimentos, A. D., Santos-Neto, M. and Cordeiro, G. M. (2012) The Mc-Gamma distribution and its statistical properties: An application to reliability data. International Journal of Statistics and Probability, 1(1), 53-71. (link)

1. Gallardo, D. I and Santos-Neto, M. (2021) Quantile Regression for positive data using a general class of distribution. (Arxiv)

Santos-Neto, M., Leão, J., Lima, M.S., and Tomazella, V. (2018+). A comparison between scan statistics based on regression models with positive responses. ArXiv ~> link