Jorge Alberto Achcar - researchr alias

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2021

A generalization of Basu-Dhar's bivariate geometric distribution to the trivariate caseRicardo Puziol de Oliveira, Josmar Mazucheli, Jorge Alberto Achcar. cssc, 50(12):4388-4412, 2021. [doi]

A new class of bivariate Lindley distributions based on stress and shock models and some of their reliability propertiesRicardo Puziol de Oliveira, Jorge Alberto Achcar, Josmar Mazucheli, Wesley Bertoli. ress, 211:107528, 2021. [doi]

2019

Use of a discrete Sushila distribution in the analysis of right-censored lifetime dataRicardo Puziol de Oliveira, Marcos Vinicius de Oliveira Peres, Edson Zangiacomi Martinez, Jorge Alberto Achcar. masa, 14(3):255-268, 2019. [doi]

2018

Determination of optimum medical cut points for continuous covariates in lifetime regression modelsTatiana Reis Icuma, Jorge Alberto Achcar, Edson Zangiacomi Martinez, Nasser Davarzani. masa, 13(2):141-159, 2018. [doi]

2017

Cure Rate Models Considering The Burr XII Distribution in Presence of CovariateEmílio Augusto Coelho Barros, Jorge Alberto Achcar, Josmar Mazucheli. jsta, 16(2):150-164, 2017. [doi]

2016

Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariatesJorge Alberto Achcar, Edson Zangiacomi Martinez, Jos Rafael Tovar Cuevas. masa, 11(4):261-276, 2016. [doi]

MCMC Bayesian Estimation in FIEGARCH ModelsTaiane S. Prass, Sílvia Regina Costa Lopes, Jorge Alberto Achcar. cssc, 45(9):3238-3258, 2016. [doi]

2014

Bayesian bivariate generalized Lindley model for survival data with a cure fractionEdson Zangiacomi Martinez, Jorge Alberto Achcar. cmpb, 117(2):145-157, 2014. [doi]

2013

Bayesian versus Neural Network Analysis of Algae Data Population - A New Method to Predict and Analyse Cause and EffectJen J. Lee, Jorge Alberto Achcar, Emílio Augusto Coelho Barros, Carlos D. Maciel. ijcci 2013: 482-488 [doi]

Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer dataEdson Zangiacomi Martinez, Jorge Alberto Achcar, Alexandre A. A. Jácome, José S. Santos. cmpb, 112(3):343-355, 2013. [doi]

The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariatesJosmar Mazucheli, Emílio Augusto Coelho Barros, Jorge Alberto Achcar. cmpb, 112(1):114-124, 2013. [doi]

Dependence Between Two Diagnostic Tests with Copula Function Approach: A Simulation StudyJosé Rafael Tovar, Jorge Alberto Achcar. cssc, 42(2):454-475, 2013. [doi]

2011

Heteroscedastic normal-exponential mixture models: Bayesian and classical approachesLiliana Garrido Lopera, Edilberto Cepeda Cuervo, Jorge Alberto Achcar. amc, 218(7):3635-3648, 2011. [doi]

The Lindley distribution applied to competing risks lifetime dataJosmar Mazucheli, Jorge Alberto Achcar. cmpb, 104(2):188-192, 2011. [doi]

2010

Heteroscedastic Nonlinear Regression ModelsEdilberto Cepeda Cuervo, Jorge Alberto Achcar. cssc, 39(2):405-419, 2010. [doi]

2006

Estimators of sensitivity and specificity in the presence of verification bias: A Bayesian approachEdson Zangiacomi Martinez, Jorge Alberto Achcar, Francisco Louzada-Neto. csda, 51(2):601-611, 2006. [doi]

2005

Bootstrap confidence intervals for the mode of the hazard functionJosmar Mazucheli, Emílio Augusto Coelho Barros, Jorge Alberto Achcar. cmpb, 79(1):39-47, 2005. [doi]

Bayesian analysis of correlated misclassified binary dataCarlos Daniel Paulino, Giovani Silva, Jorge Alberto Achcar. csda, 49(4):1120-1131, 2005. [doi]

2003

Regression Models for Correlated Biliary Data with Random Effects Assuming a Mixture of Normal DistributionsJorge Alberto Achcar, Vanderly Janeiro, Josmar Mazucheli. cstat, 18(1):39-55, 2003. [doi]

1999

Mixture models for type II censored survival data in the presence of covariatesJorge Alberto Achcar, Gilberto de Araújo Pereira. cstat, 14(2):233-250, 1999. [doi]

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