Beta rectangular regression models to longitudinal data
From MaRDI portal
Publication:2077443
DOI10.1214/21-BJPS511OpenAlexW4200148711MaRDI QIDQ2077443
José Roberto S. dos Santos, Vinícius S. O. Ribeiro, Juvêncio Santos Nobre, Caio Lucidius Naberezny Azevedo
Publication date: 21 February 2022
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/21-bjps511
Related Items (2)
Unit gamma regression models for correlated bounded data ⋮ Beta rectangular regression models to longitudinal data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Beta Regression for Modelling Rates and Proportions
- Random-Effects Models for Longitudinal Data
- Mixed beta regression: a Bayesian perspective
- Local influence in estimating equations
- Some parametric models on the simplex
- Quasi-likelihood and its application. A general approach to optimal parameter estimation
- Dimension reduction for big data
- The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation
- Gaussian copula marginal regression
- Beta rectangular regression models to longitudinal data
- Analysis of correlated Birnbaum-Saunders data based on estimating equations
- Modeling strategies in longitudinal data analysis: covariate, variance function and correlation structure selection
- Mixture densities for project management activity times: A robust approach to PERT
- A new robust regression model for proportions
- A GAMMA REGRESSION FOR BOUNDED CONTINUOUS VARIABLES
- Akaike's Information Criterion in Generalized Estimating Equations
- Statistics in Epidemiology: The Case-Control Study
- Models for Longitudinal Data: A Generalized Estimating Equation Approach
- Generalized Local Influence with Applications to Fish Stock Cohort Analysis
- Simplex Mixed‐Effects Models for Longitudinal Proportional Data
- On linear and quadratic estimating functions
- Analysis of Circular Longitudinal Data Based on Generalized Estimating Equations
- Marginal Models for Longitudinal Continuous Proportional Data
- Approximate Inference in Generalized Linear Mixed Models
- Generalized Estimating Equations
- Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data
- Likelihood analysis for a class of beta mixed models
- Diagnostic techniques in generalized estimating equations
- Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
- Augmented-limited regression models with an application to the study of the risk perceived using continuous scales
- Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures
This page was built for publication: Beta rectangular regression models to longitudinal data
