| The odd Lomax generator of distributions: Properties, estimation and applications GM Cordeiro, AZ Afify, EMM Ortega, AK Suzuki, ME Mead Journal of Computational and Applied Mathematics 347, 222-237, 2019 | 122 | 2019 |
| A Bayesian approach for predicting match outcomes: the 2006 (Association) Football World Cup AK Suzuki, LEB Salasar, JG Leite, F Louzada-Neto Journal of the Operational Research Society 61 (10), 1530-1539, 2010 | 68 | 2010 |
| A new lifetime model with variable shapes for the hazard rate AZ Afify, GM Cordeiro, N Shafique Butt, EMM Ortega, AK Suzuki | 45 | 2017 |
| The long-term bivariate survival FGM copula model: an application to a brazilian HIV Data F Louzada, AK Suzuki, VG Cancho, FL Prince, GA Pereira Journal of Data Science 10 (3), 511-535, 2012 | 30 | 2012 |
| The FGM long-term bivariate survival copula model: modeling, Bayesian estimation, and case influence diagnostics F Louzada, AK Suzuki, VG Cancho Communications in Statistics-Theory and Methods 42 (4), 673-691, 2013 | 29 | 2013 |
| Power and reversal power links for binary regressions: An application for motor insurance policyholders JL Bazán, F Torres‐Avilés, AK Suzuki, F Louzada Applied Stochastic Models in Business and Industry 33 (1), 22-34, 2017 | 26 | 2017 |
| On three-parameter exponential distribution: properties, Bayesian and non-Bayesian estimation based on complete and censored samples AZ Afify, AK Suzuki, C Zhang, M Nassar Communications in Statistics-Simulation and Computation 50 (11), 3799-3819, 2021 | 23 | 2021 |
| Predicting football scores via Poisson regression model: applications to the National Football League EF Saraiva, AK Suzuki, CA O. Filho, F Louzada Communications for Statistical Applications and Methods 23 (4), 297-319, 2016 | 21 | 2016 |
| The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis EM Hashimoto, EMM Ortega, GM Cordeiro, AK Suzuki, MW Kattan Journal of applied statistics 47 (12), 2159-2177, 2020 | 20 | 2020 |
| A new long-term survival model with dispersion induced by discrete frailty VG Cancho, MAC Macera, AK Suzuki, F Louzada, KEC Zavaleta Lifetime data analysis 26, 221-244, 2020 | 18 | 2020 |
| Bayesian computational methods for estimation of two-parameters Weibull distribution in presence of right-censored data EF Saraiva, AK Suzuki Chilean Journal of Statistics 8 (2), 25-43, 2017 | 17 | 2017 |
| A flexible procedure for formulating probability distributions on the unit interval with applications J Rodrigues, JL Bazán, AK Suzuki Communications in Statistics-Theory and Methods 49 (3), 738-754, 2020 | 16 | 2020 |
| The FGM bivariate lifetime copula model: A bayesian approach AK Suzuki, F Louzada-Neto, VG Cancho, GD Barriga Adv. Appl. Stat 21, 55-76, 2011 | 14 | 2011 |
| Hemodialysis water parameters as predisposing factors for anemia in patients in dialytic treatment: Application of mixed regression models MN Suzuki, BM Fregonesi, CS Machado, GS Zagui, L Kusumota, ... Biological trace element research 190, 30-37, 2019 | 13 | 2019 |
| Regression models generated by gamma random variables with long-term survivors EMM Ortega, GM Cordeiro, EM Hashimoto, AK Suzuki CSAM (Communications for Statistical Applications and Methods) 24 (1), 43-65, 2017 | 13 | 2017 |
| Predicting match outcomes in the English Premier League: Which will be the final rank? F Louzada, AK Suzuki, LEB Salasar Journal of Data Science 12 (2), 235-254, 2014 | 13 | 2014 |
| Bayesian computational methods for sampling from the posterior distribution of a bivariate survival model, based on AMH copula in the presence of right-censored data EF Saraiva, AK Suzuki, LA Milan Entropy 20 (9), 642, 2018 | 12 | 2018 |
| The Marshall-Olkin generalized gamma distribution GDC Barriga, GM Cordeiro, DK Dey, VG Cancho, F Louzada, AK Suzuki Communications for Statistical Applications and Methods 25 (3), 245-261, 2018 | 12 | 2018 |
| Ensemble empirical mode decomposition: A noise-assited NEH Zhaohua Wu Biomed. Tech 55, 193-201, 2010 | 11 | 2010 |
| The Poisson–Inverse-Gaussian regression model with cure rate: a Bayesian approach and its case influence diagnostics AK Suzuki, VG Cancho, F Louzada Statistical Papers 57 (1), 133-159, 2016 | 10 | 2016 |
Francisco LouzadaUniversidade de São Pauloicmc.usp.br üzerinde doğrulanmış e-posta adresine sahip
