Pragmatic model transformations for analyzing bounded and positive responses

DOI10.1016/J.CAM.2022.114682zbMath1496.62130OpenAlexW4293563980MaRDI QIDQ2088831

Iraj Kazemi, Fahimeh Tourani-Farani

Publication date: 6 October 2022

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2022.114682

zbMATH Keywords

beta regressionsymmetric distributionsIRLS-type algorithmlog-symmetricsimplex regression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Probability distributions: general theory (60E05) Diagnostics, and linear inference and regression (62J20)

Uses Software

• alr3
• alr4
• hnp

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Stochastic orders
• Some parametric models on the simplex
• Box-Cox symmetric distributions and applications to nutritional data
• A new regression model for bounded responses
• A new robust regression model for proportions
• Diagnostic tools in beta regression with varying dispersion
• New class of Johnson SB distributions and its associated regression model for rates and proportions
• The logistic transform for bounded outcome scores
• Two graphical displays for outlying and influential observations in regression
• Testing the Mean of Skewed Distributions
• Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis
• Flexible quasi-beta regression models for continuous bounded data
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions

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