Publicações

Papers Publicados (32)   

1. Ribeiro, V.O., Nobre, J.S., dos Santos, J.R. and Azevedo, C.L.N. (2021). Beta-rectangular regression models to longitudinal data. Accepted to publication in Brazilian Journal of Probability and Statistics. (https://imstat.org/journals-and-publications/brazilian-journal-of-probability-and-statistics/brazilian-journal-of-probability-and-statistics-future-papers/ )

2. Bastos, J.V., Nobre, J.S., Bourguignon, M. and Santos-Neto, M. (2021). A new approach to modelling positive random variables with repeated measures. Accepted to publication in Journal of Applied Statistics­. (doi: https://doi.org/10.1080/02664763.2021.1963422)

3. Silva, A. R.S., Azevedo, C.L.N., Bazan, J.L. and Nobre, J.S. (2021). Bayesian inference for zero-and/or-one augmented beta rectangular regression models. Accepted to publication in Brazilian Journal of Probability and Statistics. (https://imstat.org/journals-and-publications/brazilian-journal-of-probability-and-statistics/brazilian-journal-of-probability-and-statistics-future-papers/ )

4. Saulo, H., Leão, J.S., Nobre, J.S. and Balakrisnan, N. (2021). A class of asymmetric regression modelos for left-censored data.  Brazilian Journal of Probability and Statistics, 35, 62-84. (doi: https://doi.org/10.1214/20-BJPS494) 

5. Nobre, J.S., Singer, J.M. and Batista, M.J. (2020). Improved $U$-tests for variance components in one-way random effects models. Brazilian Journal of Probability and Statistics. (https://www.imstat.org/wp-content/uploads/2019/03/BJPS436.pdf)

6. Silva, A.R.S., Azevedo, C.L.N.m Bazan, J.L. and Nobre, J.S.(2020). Augmented-limited regression models with an application to the study of the risk perceived continuous scales. Journal of applied statistics. (https://doi.org/10.1080/02664763.2020.1783518 ).

7. Oliveira Jr., J.V., Cribari-Neto, 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.

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

9. Tomazella, V., Pereira, G.H.A., Nobre, J.S. and Santos, M.F. (2019). Zero-adjusted reparametrized Birnbaum-Saunders regression models. Statistics & Probability Letters, 149, 142-145.

10. Mesquita, D.P.P., Gomes, J.P.P., Corona, F., Souza-Junior, A.H. and Nobre, J.S. (2019). Gaussian Kernels for Incomplete data. Applied Soft Computing, 77, 356-365.

11. Chaves, N.L., Azevedo, C.L.N., Labra, F.V. and Nobre, J.S. (2019). A new Birnbaum-Saunders type distribution based on the skew normal under the centered parametrization. Chilean Journal of Satisitics, 10, 55-76.

12. Leal, B. Vidal, I., Brito, F., Nobre, J.S. and Machado, J. (2018).  $delta$-DOCA: Achieving Privacy in Data Streams. In: Joaquin Garcia-Alfaro; Jordi Herrera-Joancomartí; Giovanni Livraga. (Org). Data Privacy Management, Cryptocurrencies and Blockchain Technology, ESORICS 2018 International Workshops, DPM 2018 and CBT 2018, Barcelona, Spain, September 6-7, 2018, Proceedings. First Edition. New York: Springer, Cham, 2018, V.1, 279-295. (doi: https://doi.org/10.1007/978-3-030-00305-0_20) 

13. Singer, J.M, Rocha, F.M.M. e Nobre, J.S. (2017). Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures. International Statistical Review, 85, 290-324. (doi: 10.1111/insr.12178)

14. Mesquita, D.P.P., Gomes, J.P.P., Junior, A.H.S. e Nobre, J.S. (2017). Euclidean distance estimation in incomplete datasets. Neurocomputing, 248, 11-18.

15. Rodrigues, F.A.A., Rocha-Neto, J.F.S., Marques, R.C.P, Sombra, F. N.M. e Nobre, J.S. (2017). SAR Image Segmentation Using the Roughness Information. IEEE Geoscience and Remote Sensing Letters, 13, 132-136.

16. Fonseca, R.V., Nobre, J.S. e Farias, R.B.A. (2016). Comparative inference and diagnostic in a reparametrized Birnbaum-Saunders regression model. Chilean Journal of Statistics, 7, 17-30.

17. Nobre, R.H., Rodrigues, F.A.A., Marques, F.R., Nobre, J.S., Jeová-Neto, F.S.R. e Sobra, F.N.M. (2016). SAR Image Segmentation with Rényi’s Entropy. IEEE Signal Processing Letters, 23, 1551-1555.

18. Pinho, L.G.B., Cordeiro, G.M. e Nobre, J.S. (2015). On the Harris-G of distributions: General results and application. Brazilian Journal of Probability and Statistics, 29, 813-832.

19. Pinho, L. G.B., Nobre, J.S. e Singer, J.M. (2015). Cook’s distance for generalized linear mixed modelos. Computational Statistics & Data Analysis, 82, 126-136.

20. Pinho, L.G.B., Cordeiro, G.M. e Nobre, J.S. (2015). The Harris Extended Exponential Distribution. Communication in Statistics – Theory and Methods, 44, 3486-3502.

21. Nobre, J.S., Singer, J.M. and Sen, P.K. (2013). $U$-tests for variance componente in linear mixed models. TEST, 22, 580-605.

22. Marques, R.C.P., Medeiros, F.N.S. and Nobre, J.S. (2012). SAR image segmentation based on level set approach and GA0 model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 2046-2057. (doi: 10.1109/TPAMI.2011.274)

23. Pinho, L. G. B., Cordeiro, G.M, Nobre, J.S. (2012). The Gamma-Exponentiated Weibull Distribution. Journal of Statistical Theory and Applications, 11, 379-395.

24. Cordeiro, G., Nobre, J.S., Pescim, R. and Ortega, E. (2012). The BetaMoyal: A Useful-Skew Distribution. International Journal of Research and Reviews in Applied Sciences, 10, 171-192.

25. Pinho, L.G., Nobre, J.S. and Freitas, S.M. (2012). On Linear Mixed Models and their influence diagnostics applied to an actuarial problem. (2012). Chilean Journal of Statistics, 3, 57-73.

26. Nobre, J.S. and Singer, J.M. (2011). Leverage Analysis for Linear Mixed Models. Journal of Applied Statistics, 38, 1063-1072. (doi: 10.1080/02664761003759016)

27. Nobre, J.S., Singer, J.M. and Silvapulle, M.J. (2008). U-tests for variance components in one-way random effects models. In: Beyond Parametrics in Interdisciplinary Research, Festschrift to P.K. Sen. Eds: N. Balakrishnan; E. Pena; M. J. Silvapulle. California: IMS Lecture Notes-Monograph Series, Hayward, 197-210. (doi: 10.1214/193940307000000149)

28. Nobre, J.S. (2008). Identifying rhythmic classes of languagens: modeling symbolic chains of the sonority using tree of probability. Revista Colombiana de Estadística, 31, 229-240.

29. Almeida, A. E., Elian, S.N. and Nobre, J.S. (2008). Modificações e alternativas aos testes de Levene e de Brown e Forsythe para igualdade de variâncias e médias. Revista Colombiana de Estadística, 31, 241-260.

30. Nobre, J.S. and Singer, J. M. (2007). Residuals Analysis for linear Mixed Models. Biometrical Journal, 49, 863-875. (doi: 10.1002/bimj.200610341.)

31. Nobre, J.S. and Azevedo, C.L.N. (2006). O princípio da equivariância: conceitos e aplicações. Revista Colombiana de Estadística, 29, 195-220.

32. Singer, J.M. , Nobre, J.S. and Henry,  C.S. (2004). Regression models for pretest/posttest data in blocks. Statistical Modelling, 4, 324-338. (doi: 10.1191/1471082X04st083oa)

Papers Aceitos para publicação (04)

Livros

1. Singer, J.M., Rocha, F.M.M e Nobre, J.S. (2004). Análise de Medidas Repetidas. IV Jornada de Estatística, Maringá, 120 pgs (Minicurso).

2. Singer, J.M., Nobre, J.S. e Rocha, F.M.M. (2019). Análise de dados longitudinais. (Versão preliminar parcial)

Paper submetidos atualmente: (06)

Papers sob preparação: (12)