The Lindley distribution applied to competing risks lifetime data J Mazucheli, JA Achcar Computer methods and programs in biomedicine 104 (2), 188-192, 2011 | 169 | 2011 |
Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data EZ Martinez, JA Achcar, AAA Jácome, JS Santos Computer methods and programs in biomedicine 112 (3), 343-355, 2013 | 91 | 2013 |
A Bayesian approach using nonhomogeneous Poisson processes for software reliability models JA Achcar, DK Dey, M Niverthi Frontiers in reliability, 1-18, 1998 | 85 | 1998 |
Inferences for the Birnbaum—Saunders fatigue life model using Bayesian methods JA Achcar Computational statistics & data analysis 15 (4), 367-380, 1993 | 82 | 1993 |
Gravidez na adolescência e características socioeconômicas dos municípios do Estado de São Paulo, Brasil: análise espacial EZ Martinez, DL Roza, MCGG Caccia-Bava, JA Achcar, AL Dal-Fabbro Cadernos de Saúde Pública 27, 855-867, 2011 | 80 | 2011 |
A Bayesian analysis for multivariate survival data in the presence of covariates CA Santos, JA Achcar Journal of Statistical Theory and Applications 9, 233-253, 2010 | 75 | 2010 |
Estimating the number of ozone peaks in Mexico City using a non‐homogeneous Poisson model JA Achcar, AA Fernández‐Bremauntz, ER Rodrigues, G Tzintzun Environmetrics: The official journal of the International Environmetrics …, 2008 | 67 | 2008 |
Cure fraction models using mixture and non-mixture models JA Achcar, EA Coelho-Barros, J Mazucheli Tatra Mountains Mathematical Publications 51 (1), 1-9, 2012 | 65 | 2012 |
Discrimnation Of Equilibrium Moisture Equations For Soybean Usmg Nonlinearity Measures MAS Barrozol, DJM Sanori, JT Freire, JA Achcar Drying Technology 14 (7-8), 1779-1794, 1996 | 62 | 1996 |
Using non‐homogeneous Poisson models with multiple change‐points to estimate the number of ozone exceedances in Mexico City JA Achcar, ER Rodrigues, G Tzintzun Environmetrics 22 (1), 1-12, 2011 | 59 | 2011 |
Non-homogeneous Poisson models with a change-point: an application to ozone peaks in Mexico city JA Achcar, ER Rodrigues, CD Paulino, P Soares Environmental and Ecological Statistics 17, 521-541, 2010 | 59 | 2010 |
Bayesian analysis of correlated misclassified binary data CD Paulino, G Silva, JA Achcar Computational statistics & data analysis 49 (4), 1120-1131, 2005 | 55 | 2005 |
Constant hazard against a change-point alternative: a Bayesian approach with censored data JA Achcar, H Bolfarine Communications in Statistics-Theory and methods 18 (10), 3801-3819, 1989 | 55 | 1989 |
Algumas considerações em regressão não linear J Mazucheli, JA Achcar Acta Scientiarum 24 (6), 1761-1770, 2002 | 54 | 2002 |
Bayesian inference for nonhomogeneous Poisson processes in software reliability models assuming nonmonotonic intensity functions JER Cid, JA Achcar Computational statistics & data analysis 32 (2), 147-159, 1999 | 52 | 1999 |
Aspects of reparametrization in approximate Bayesian inference JA Achcar, AFM Smith Bayesian and Likelihood Methods in Statistics and Econometrics, 1990 | 44 | 1990 |
A Bayesian analysis of the exponentiated-Weibull distribution VG Cancho, H Bolfarine, JA Achcar Journal of Applied Statistical Science 8 (4), 227-242, 1999 | 42 | 1999 |
Métodos de estimação em regressão linear múltipla: aplicação a dados clínicos EA Coelho-Barros, PA Simões, JA Achcar, EZ Martinez, AC Shimano Revista Colombiana de Estadística 31 (1), 111-129, 2008 | 40 | 2008 |
A motivational profile for smoking among adolescents AG Bonilha, EST de Souza, MP Sicchieri, JA Achcar, JAS Crippa, ... Journal of Addiction Medicine 7 (6), 439-446, 2013 | 34 | 2013 |
Use of Poisson spatiotemporal regression models for the Brazilian Amazon forest: malaria count data JA Achcar, EZ Martinez, ADP Souza, VM Tachibana, EF Flores Revista da Sociedade Brasileira de Medicina Tropical 44, 749-754, 2011 | 34 | 2011 |