Thiago G. Ramires

According to our database, Thiago G. Ramires authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Cattle reference growth curves based on centile estimation: A GAMLSS approach.

Luiz R. Nakamura, Thiago G. Ramires, Ana J. Righetto, Rodrigo Rossetto Pescim, Fernanda V. Roquim, Taciana V. Savian, Dimitrios M. Stasinopoulos

Comput. Electron. Agric., 2022

2021

Comparison between Highly Complex Location Models and GAMLSS.

Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renan J. Carvalho, Lucas A. Vieira, Carlos A. de B. Pereira

Entropy, 2021

2020

A flexible bimodal model with long-term survivors and different regression structures.

Thiago G. Ramires, Edwin M. M. Ortega, Artur J. Lemonte, Niel Hens, Gauss M. Cordeiro

Commun. Stat. Simul. Comput., 2020

Extended exp-G family of distributions: Properties, applications and simulation.

Morad Alizadeh, Mahmoud Afshari, Bistoon Hosseini, Thiago G. Ramires

Commun. Stat. Simul. Comput., 2020

2019

A new useful four-parameter extension of the Gumbel distribution: Properties, regression model and applications using the GAMLSS framework.

Morad Alizadeh, Thiago G. Ramires, S. M. T. K. MirMostafaee, Maryam Samizadeh, Edwin M. M. Ortega

Commun. Stat. Simul. Comput., 2019

2018

Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model.

Thiago G. Ramires, Niel Hens, Gauss M. Cordeiro, Edwin M. M. Ortega

Comput. Stat., 2018

The odd log-logistic Topp-Leone G family of distributions: heteroscedastic regression models and applications.

Morad Alizadeh, Fazlollah Lak, Mahdi Rasekhi, Thiago G. Ramires, Haitham M. Yousof, Emrah Altun

Comput. Stat., 2018

New regression model with four regression structures and computational aspects.

Thiago G. Ramires, Edwin M. M. Ortega, Gauss M. Cordeiro, Gilberto A. Paula, Niel Hens

Commun. Stat. Simul. Comput., 2018

2017

The new family of distributions and applications in heteroscedastic regression analysis.

Gauss M. Cordeiro, Thiago G. Ramires, Edwin M. M. Ortega, Morad Alizadeh

J. Stat. Theory Appl., 2017