Adjusted Pearson residuals in beta regression models

DOI10.1080/00949655.2012.736993zbMath1453.62028OpenAlexW2000134835MaRDI QIDQ5219958

Tatiana Anholeto, Mônica C. Sandoval, Denise A. Botter

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.736993

zbMATH Keywords

bias correctionbeta distributionnormality testPearson residualadjusted Pearson residual

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Linear inference, regression (62J99)

Related Items (12)

A class of residuals for outlier identification in zero adjusted regression models ⋮ Skewness of maximum likelihood estimators in the varying dispersion beta regression model ⋮ On quantile residuals in beta regression ⋮ Adjusted quantile residual for generalized linear models ⋮ Joint linear modeling of mixed data and its application to email analysis ⋮ Influence diagnostics in the Gamma regression model with adjusted deviance residuals ⋮ Nonnested hypothesis testing in the class of varying dispersion beta regressions ⋮ Bessel regression model: Robustness to analyze bounded data ⋮ Identification of multiple outliers in a generalized linear model with continuous variables ⋮ Influence measures in beta regression models through distance between distributions ⋮ General location multivariate latent variable models for mixed correlated bounded continuous, ordinal, and nominal responses with non-ignorable missing data ⋮ The circular quantile residual

Uses Software

• Ox
• betareg

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Residuals and their statistical properties in symmetrical nonlinear models
• Improved point and interval estimation for a beta regression model
• On Pearson's residuals in generalized linear models.
• On beta regression residuals
• Adjusted Pearson residuals in exponential family nonlinear models
• Numerical Optimization

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