Diagnostic tools in beta regression with varying dispersion
From MaRDI portal
Publication:3088160
DOI10.1111/j.1467-9574.2011.00488.xzbMath1219.62117OpenAlexW1526288306WikidataQ57496499 ScholiaQ57496499MaRDI QIDQ3088160
Patrícia L. Espinheira, Silvia L. P. Ferrari, Francisco Cribari-Neto
Publication date: 19 August 2011
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9574.2011.00488.x
maximum likelihood estimationlocal influenceresidual analysismodel specificationproportionsratespercentages
Estimation in multivariate analysis (62H12) Diagnostics, and linear inference and regression (62J20)
Related Items
Distance-based beta regression for prediction of mutual funds ⋮ A new regression model for bounded responses ⋮ A class of beta regression models with multiplicative log-normal measurement errors ⋮ Resampling-based prediction intervals in beta regressions under correct and incorrect model specification ⋮ Bootstrap-based testing inference in beta regressions ⋮ On nonlinear beta regression residuals ⋮ Residual and local influence analyses for unit gamma regressions ⋮ The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation ⋮ Improving estimation for beta regression models via EM-algorithm and related diagnostic tools ⋮ Model selection criteria in beta regression with varying dispersion ⋮ Variable selection for varying dispersion beta regression model ⋮ Errors-in-variables beta regression models ⋮ A beta partial least squares regression model: Diagnostics and application to mining industry data ⋮ Bootstrap prediction intervals in beta regressions ⋮ Variable dispersion beta regressions with parametric link functions ⋮ Robustness against outliers: A new variance inflated regression model for proportions ⋮ Bayesian beta regression for bounded responses with unknown supports ⋮ Bessel regression model: Robustness to analyze bounded data ⋮ Diagnostic tools in generalized Weibull linear regression models ⋮ A spatial mixed-effects regression model for electoral data ⋮ Influence measures in beta regression models through distance between distributions ⋮ Pragmatic model transformations for analyzing bounded and positive responses
Uses Software
Cites Work
This page was built for publication: Diagnostic tools in beta regression with varying dispersion