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Adriano K. Suzuki
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2020 – today
- 2024
- [j13]Átila P. Correia, Adriano K. Suzuki, Paulo H. Ferreira, Márcio L. L. Viola:
Construction of New Bivariate Semilinear Copulas Based on the Ali-Mikhail-Haq, Farlie-Gumbel-Morgenstern and Plackett Families. Adv. Data Sci. Adapt. Anal. 16(1&2): 2450002:1-2450002:19 (2024) - 2022
- [j12]Vicente G. Cancho, Adriano K. Suzuki, Gladys D. C. Barriga, Ana P. J. do Espirito Santo:
A multivariate survival model induced by discrete frailty. Commun. Stat. Simul. Comput. 51(11): 6572-6590 (2022) - 2021
- [j11]Gladys D. C. Barriga, Adriano K. Suzuki, Vicente G. Cancho, Francisco Louzada:
A New Class of Cure Rate Survival Models: Properties, Inference and Applications. Adv. Data Sci. Adapt. Anal. 13(1): 2150001:1-2150001:15 (2021) - [j10]Ahmed Z. Afify, Adriano K. Suzuki, Chunfang Zhang, Mazen Nassar:
On three-parameter exponential distribution: properties, Bayesian and non-Bayesian estimation based on complete and censored samples. Commun. Stat. Simul. Comput. 50(11): 3799-3819 (2021) - [c1]Matheus Henrique Junqueira Saldanha, Adriano Kamimura Suzuki:
Determining the Probability Distribution of Execution Times. ISCC 2021: 1-6 - 2020
- [j9]Josemar Rodrigues, Marco Henrique de Almeida Inácio, Adriano K. Suzuki, Fernando Raimundo da Silva, Narayanaswamy Balakrishnan:
Bayesian superposition of pure-birth destructive cure processes for tumor latency. Commun. Stat. Simul. Comput. 49(12): 3240-3253 (2020) - [j8]Yiqi Bao, Vicente G. Cancho, Dipak K. Dey, Narayanaswamy Balakrishnan, Adriano K. Suzuki:
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. J. Comput. Appl. Math. 364 (2020)
2010 – 2019
- 2019
- [j7]Fábio Prataviera, Gauss M. Cordeiro, Edwin M. M. Ortega, Adriano K. Suzuki:
The Odd Log-Logistic Geometric Normal Regression Model with Applications. Adv. Data Sci. Adapt. Anal. 11(1-2): 1950003:1-1950003:25 (2019) - [j6]Yiqi Bao, Vicente G. Cancho, Francisco Louzada, Adriano K. Suzuki:
Semi-Parametric Cure Rate Proportional Odds Models with Spatial Frailties for Interval-Censored Data. Adv. Data Sci. Adapt. Anal. 11(3-4): 1950005:1-1950005:32 (2019) - [j5]Yiqi Bao, Vicente G. Cancho, Dipak K. Dey, Francisco Louzada, Adriano K. Suzuki:
D-Measure: A Bayesian Model Selection Criterion for Survival Data. Adv. Data Sci. Adapt. Anal. 11(3-4): 1950007:1-1950007:18 (2019) - [j4]Erlandson Ferreira Saraiva, Adriano Kamimura Suzuki, Luís Aparecido Milan, Carlos Alberto De Bragança Pereira:
An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model. Entropy 21(11): 1063 (2019) - [j3]Gauss M. Cordeiro, Ahmed Z. Afify, Edwin M. M. Ortega, Adriano K. Suzuki, Mohamed E. Mead:
The odd Lomax generator of distributions: Properties, estimation and applications. J. Comput. Appl. Math. 347: 222-237 (2019) - 2018
- [j2]Erlandson Ferreira Saraiva, Adriano Kamimura Suzuki, Luís Aparecido Milan:
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. Entropy 20(9): 642 (2018) - 2010
- [j1]Adriano K. Suzuki, Luis Ernesto Salasar, J. G. Leite, Francisco Louzada-Neto:
A Bayesian approach for predicting match outcomes: The 2006 (Association) Football World Cup. J. Oper. Res. Soc. 61(10): 1530-1539 (2010)
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