New regression model with four regression structures and computational aspects

DOI10.1080/03610918.2017.1332212OpenAlexW2617577969WikidataQ111288202 ScholiaQ111288202MaRDI QIDQ5084970

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

Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/27427

zbMATH Keywords

survival analysisGAMLSSdiagnostics analysisexponentiated sinh Cauchy regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20) Survival analysis and censored data (62Nxx)

Related Items (2)

A flexible bimodal model with long-term survivors and different regression structures ⋮ A new useful four-parameter extension of the Gumbel distribution: Properties, regression model and applications using the GAMLSS framework

Uses Software

• Unnamed Item
• GAMLSS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A new generalized Weibull family of distributions: mathematical properties and applications
• Influence diagnostics in generalized log-gamma regression models
• Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
• Log-Burr XII regression models with censored data
• The log-beta Weibull regression model with application to predict recurrence of prostate cancer
• The odd Birnbaum-Saunders regression model with applications to lifetime data
• Perturbation selection and influence measures in local influence analysis
• Exponentiated Exponential Family: An Alternative to Gamma and Weibull Distributions
• Exponentiated Sinh Cauchy Distribution with Applications
• A log-linear regression model for the odd Weibull distribution with censored data
• Martingale-based residuals for survival models
• Deviance residuals in generalised log-gamma regression models with censored observations
• Residuals for relative risk regression
• Modeling failure time data by lehman alternatives
• Local Influence in Linear Mixed Models
• A bimodal flexible distribution for lifetime data
• The generalized odd half-Cauchy family of distributions: Properties and applications
• Generalized Additive Models for Location, Scale and Shape

This page was built for publication: New regression model with four regression structures and computational aspects