Tree-structured model diagnostics for linear regression

DOI10.1007/s10994-008-5080-8zbMath1200.68083OpenAlexW2027699746MaRDI QIDQ1009312

Morgan C. Wang, Xiaogang Su, Chih-Ling Tsai

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5080-8

zbMATH Keywords

heteroscedasticitylinear modelsAICCARTregression trees

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Tree-structured modelling of categorical predictors in generalized additive regression ⋮ Regression tree-based diagnostics for linear multilevel models

Uses Software

• R
• S-PLUS

Cites Work

• Bagging predictors
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• A note on Studentizing a test for heteroscedasticity
• Hedonic housing prices and the demand for clean air
• Estimating the dimension of a model
• Using residuals robustly I: Tests for heteroscedasticity, nonlinearity
• Estimating Regression Models with Multiplicative Heteroscedasticity
• Diagnostic Value of Residual and Partial Residual Plots
• Use of Modified Profile Likelihood for Improved Tests of Constancy of Variance in Regression
• Tree-augmented Cox proportional hazards models
• Problems in the Analysis of Survey Data, and a Proposal
• Unitary Triangularization of a Nonsymmetric Matrix
• Signal-to-Noise Ratios, Performance Criteria, and Transformations
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