V. Cancho

发表

A Bayesian analysis of the exponentiated-Weibull distribution

H. Bolfarine, V. Cancho, J. Achcar, 1999 .

A new long-term lifetime distribution induced by a latent complementary risk framework

F. Louzada, V. Cancho, J. G. Leite, 2012 .

Latent cure rate model under repair system and threshold effect

G. Cordeiro, N. Balakrishnan, V. Cancho, 2015 .

On the unification of long-term survival models

Josemar Rodrigues, Francisco Louzada-Neto, Vicente G. Cancho, 2009 .

Long-term survival models with latent activation under a flexible family of distributions

Dipak K. Dey, Vicente G. Cancho, Mário de Castro, 2013 .

Modeling Time to Default on a Personal Loan Portfolio in Presence of Disproportionate Hazard Rates

Francisco Louzada, Yiqi Bao, Mauro de Oliveira Jr, 2014 .

Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point

Gladys D. C. Barriga, V. Cancho, Jeremias Leão, 2019, Communications in Statistics - Theory and Methods.

On estimation and diagnostics analysis in log-generalized gamma regression model for interval-censored data

E. M. Hashimoto, G. Cordeiro, V. Cancho, 2013 .

A multivariate survival model induced by discrete frailty

Gladys D. C. Barriga, V. Cancho, A. Suzuki, 2020 .

A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics

Gladys D. C. Barriga, F. Louzada, V. Cancho, 2017 .

A non-default fraction bivariate regression model for credit scoring: An application to Brazilian customer data

Gladys D. C. Barriga, F. Louzada, V. Cancho, 2016 .

A New lifetime model for multivariate survival data with a surviving fraction

Gladys D. C. Barriga, D. Dey, F. Louzada, 2016 .

On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

F. Louzada, V. Cancho, Bao Yiqi, 2017 .

The Marshall-Olkin generalized gamma distribution

Gladys D. C. Barriga, G. Cordeiro, D. Dey, 2018, Communications for Statistical Applications and Methods.

Destructive weighted Poisson cure rate models

Narayanaswamy Balakrishnan, Josemar Rodrigues, Vicente G. Cancho, 2011, Lifetime data analysis.

Modeling the presence of immunes by using the exponentiated-Weibull model

Heleno Bolfarine, Vicente G. Cancho, H. Bolfarine, 2001 .

Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism

Gladys D. C. Barriga, D. Dey, V. Cancho, 2020 .

Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis

Gladys D. C. Barriga, D. Dey, J. A. Fiorucci, 2018 .

The Poisson–exponential distribution: a Bayesian approach

Gladys D. C. Barriga, Vicente G. Cancho, Franscisco Louzada-Neto, 2011 .

A Bayesian cure rate model with dispersion induced by discrete frailty

F. Louzada, V. Cancho, A. Suzuki, 2018, Communications for Statistical Applications and Methods.

The Exponential-Poisson Regression Model for Recurrent Events: A Bayesian Approach

F. Louzada, V. Cancho, Márcia A C Macera, 2015 .

The Poisson-exponential model for recurrent event data: an application to bowel motility data

F. Louzada, V. Cancho, Márcia A C Macera, 2015 .

A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer

D. Dey, J. L. Bazán, V. Cancho, 2020, Statistical methods in medical research.

A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data

Josemar Rodrigues, Mário de Castro, Vicente G Cancho, 2012, Statistical methods in medical research.

A Bayesian long-term survival model parametrized in the cured fraction.

Josemar Rodrigues, Mário de Castro, Vicente G Cancho, 2009, Biometrical journal. Biometrische Zeitschrift.

A new long-term survival model with dispersion induced by discrete frailty

F. Louzada, V. Cancho, A. Suzuki, 2020, Lifetime data analysis.

A New Class of Survival Regression Models with Cure Fraction

Gladys D. C. Barriga, E. M. Hashimoto, G. Cordeiro, 2014, Journal of Data Science.

The exponential Poisson logarithmic distribution

F. Louzada, V. Cancho, Bao Yiqi, 2016 .

The complementary exponential power series distribution

F. Louzada, Patrick Borges, V. Cancho, 2013 .

Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach

D. Dey, F. Louzada, V. H. Lachos, 2017 .

The generalized exponential-power series cure rate model with covariates and latent activation schemes

José Julio Flores Delgado, V. Cancho, J. C. Fuentes, 2012 .

The Conway–Maxwell–Poisson-generalized gamma regression model with long-term survivors

Gladys D. C. Barriga, E. M. Hashimoto, V. Cancho, 2011 .

A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units

F. Louzada, V. Cancho, Márcia A C Macera, 2017, Statistical methods in medical research.

The Exponentiated Complementary Exponential Geometric Distribution

F. Louzada, V. Cancho, Mari Roman, 2013 .

Maximum Likelihood Estimation for the Weight Lindley Distribution Parameters under Different Types of Censoring

F. Louzada, V. Cancho, P. Ramos, 2015, 1503.08399.

The Poisson–Inverse-Gaussian regression model with cure rate: a Bayesian approach and its case influence diagnostics

F. Louzada, V. Cancho, A. Suzuki, 2016 .

Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model

V. Cancho, J. Rodrigues, Daiane de Souza Santos, 2019, Journal of Statistical Computation and Simulation.

A note on a unified approach for cure rate models

V. Cancho, J. Rodrigues, M. Castro, 2010 .

A New Regression Model on the Unit Interval: Properties, Estimation, and Application

Yury R. Benites, G. Cordeiro, V. Cancho, 2022, Mathematics.

The exponentiated power exponential semiparametric regression model

G. Cordeiro, V. Cancho, E. Ortega, 2020, Commun. Stat. Simul. Comput..

A new survival model for lifetime with long-term survivors and unobserved heterogeneity

V. Cancho, A. P. J. E. Santo, 2019 .

A new destructive Poisson odd log-logistic generalized half-normal cure rate model

G. Cordeiro, V. Cancho, E. Ortega, 2019 .

A new long-term survival model with dispersion induced by discrete frailty

F. Louzada, V. Cancho, A. Suzuki, 2019, Lifetime Data Analysis.

Influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

F. Louzada, V. Cancho, Bao Yiqi, 2015 .

The Poisson–Inverse-Gaussian regression model with cure rate: a Bayesian approach and its case influence diagnostics

F. Louzada, V. Cancho, A. Suzuki, 2014, Statistical Papers.

A new flexible regression model with application to recovery probability Covid-19 patients

G. M. Cordeiro, E. M. Hashimoto, V. Cancho, 2023, Journal of Applied Statistics.

A Bayesian analysis of the Conway–Maxwell–Poisson cure rate model

V. Cancho, J. Rodrigues, Mário de Castro, 2010, Statistical Papers.

COM–Poisson cure rate survival models and an application to a cutaneous melanoma data

Narayanaswamy Balakrishnan, Josemar Rodrigues, Vicente G. Cancho, 2009 .

Log-NewWeibull Extension Regression Models with Censored Data

V. Cancho, E. Ortega, Giovana Oliveira, 2018 .

Generalized log-gamma regression models with cure fraction

Vicente G Cancho, V. Cancho, E. Ortega, 2009, Lifetime data analysis.

A New Lifetime Distribution with Bathtube and Unimodal Hazard Function

Francisco Louzada-Neto, Vicente G. Cancho, V. Cancho, 2008 .

Assessing influence in survival data with a cured fraction and covariates

V. H. Lachos, V. Cancho, E. Ortega, 2008 .

Influence diagnostics in exponentiated-Weibull regression models with censored data

Heleno Bolfarine, Edwin M. M. Ortega, Vicente G. Cancho, 2006 .

A new survival model with surviving fraction: An application to colorectal cancer data

Gladys D. C. Barriga, G. Cordeiro, V. Cancho, 2018, Statistical methods in medical research.

The Long-Term Bivariate Survival FGM Copula Model: An Application to a Brazilian HIV Data

Francisco Louzada, Vicente G. Cancho, Adriano K. Suzuki, 2021 .

Bayesian reference analysis for the Poisson-exponential lifetime distribution

F. Louzada, V. Cancho, V. Tomazella, 2013 .

Bayesian analysis for a skew extension of the multivariate null intercept measurement error model

V. H. Lachos, V. Cancho, Reiko Aoki, 2008 .

The Poisson-exponential lifetime distribution

Francisco Louzada-Neto, Gladys D. C. Barriga, Vicente G. Cancho, 2011, Comput. Stat. Data Anal..

Log-Burr XII regression models with censored data

Mauricio Lima Barreto, Edwin M. M. Ortega, Vicente G. Cancho, 2008, Comput. Stat. Data Anal..

Bayesian cure rate models induced by frailty in survival analysis

Narayanaswamy Balakrishnan, Josemar Rodrigues, Daiane de Souza, 2017, Statistical methods in medical research.

The complementary exponential geometric distribution: Model, properties, and a comparison with its counterpart

Francisco Louzada-Neto, Vicente G. Cancho, Mari Roman, 2011, Comput. Stat. Data Anal..

The exponential‐Poisson model for recurrent event data: An application to a set of data on malaria in Brazil

Francisco Louzada, Vicente G Cancho, F. Louzada, 2015, Biometrical journal. Biometrische Zeitschrift.

A flexible model for survival data with a cure rate: a Bayesian approach

Josemar Rodrigues, Vicente G. Cancho, Mário de Castro, 2011 .

Skew-Normal Calibration Comparative Models

V. H. Lachos, V. Cancho, E. Ortega, 2018 .

Bayesian analysis of skew-t multivariate null intercept measurement error model

V. H. Lachos, V. Cancho, Reiko Aoki, 2010 .

A new regression model for rates and proportions data with applications

E. M. M. Ortega, F. Prataviera, G. M. Cordeiro, 2021, Journal of applied statistics.

A New Long-Term Survival Model with Interval-Censored Data

Gauss M. Cordeiro, Elizabeth M. Hashimoto, Edwin M. M. Ortega, 2015, Sankhya B.

The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes

F. Louzada, V. Cancho, Bao Yiqi, 2015 .

On estimation and influence diagnostics for a bivariate promotion lifetime model based on the FGM copula: a fully bayesian computation

Francisco Louzada, Vicente G. Cancho, Adriano K. Suzuki, 2013 .

Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2011, Comput. Stat. Data Anal..

Log-Weibull extended regression model: Estimation, sensitivity and residual analysis

Edwin M. M. Ortega, Vicente G. Cancho, Giovana O. Silva, 2010 .

On estimation and influence diagnostics for log-Birnbaum–Saunders Student-t regression models: Full Bayesian analysis

Gilberto A. Paula, Edwin M. M. Ortega, Vicente G. Cancho, 2010 .

The log-exponentiated Weibull regression model for interval-censored data

Gauss M. Cordeiro, Elizabeth M. Hashimoto, Edwin M. M. Ortega, 2010, Comput. Stat. Data Anal..

The geometric exponential Poisson distribution

Saralees Nadarajah, Edwin M. M. Ortega, Vicente G. Cancho, 2013, Stat. Methods Appl..

The odd log-logistic Lindley Poisson model for lifetime data

G. G. Hamedani, Gamze Ozel, Edwin M. M. Ortega, 2017, Commun. Stat. Simul. Comput..

A New Long-Term Survival Distribution for Cancer Data

Francisco Louzada, Vicente G. Cancho, Mari Roman, 2012, Journal of Data Science.

A power series beta Weibull regression model for predicting breast carcinoma

Michael W Kattan, Vicente G Cancho, G. Cordeiro, 2015, Statistics in medicine.

A hands-on approach for fitting long-term survival models under the GAMLSS framework

Mário de Castro, Vicente G. Cancho, Josemar Rodrigues, 2010, Comput. Methods Programs Biomed..

A survival regression with cure fraction applied to cervical cancer

G. Cordeiro, V. Cancho, E. Ortega, 2022, Computational Statistics.

Performance of asymmetric links and correction methods for imbalanced data in binary regression

D. Dey, V. Cancho, J. Bazán, 2019, Journal of Statistical Computation and Simulation.

The destructive negative binomial cure rate model with a latent activation scheme.

Francisco Louzada, Dipankar Bandyopadhyay, Vicente G Cancho, 2013, Statistical methodology.

Planning accelerated life tests under Exponentiated‐Weibull‐Arrhenius model

Linda Lee Ho, Gladys D. C. Barriga, Vicente G. Cancho, 2008 .

Determinants Facts of Happiness in a Brazilian Food Industry

Gladys D. C. Barriga, V. Cancho, Lucas Souza, 2020 .

Likelihood-based tests in zero-inflated power series models

Artur J. Lemonte, V. Cancho, Katherine E. C. Zavaleta, 2018, Journal of Statistical Computation and Simulation.

An extension of the partially linear Rice regression model for bimodal and correlated data

J. S. Vasconcelos, V. Cancho, E. M. Ortega, 2023, Brazilian Journal of Probability and Statistics.

A nonlinear regression model with skew-normal errors

V. H. Lachos, V. Cancho, E. Ortega, 2010 .

Journal of Statistical Planning and Inference Robust Linear Mixed Models with Skew-normal Independent Distributions from a Bayesian Perspective

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2022 .

Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals

Josemar Rodrigues, Vicente G. Cancho, Adriano K. Suzuki, 2021, Communications in Statistics - Theory and Methods.

The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil

G. M. Cordeiro, E. M. Hashimoto, V. Cancho, 2022, Journal of applied statistics.

A non-default rate regression model for creditscoring

Francisco Louzada, Gladys D. C. Barriga, Vicente G. Cancho, 2015 .

Semi-Parametric Cure Rate Proportional Odds Models with Spatial Frailties for Interval-Censored Data

Francisco Louzada, Vicente G. Cancho, Adriano K. Suzuki, 2019, Adv. Data Sci. Adapt. Anal..