Testing for additivity in non‐parametric regression

DOI10.1002/cjs.11295zbMath1357.62197OpenAlexW2505098941WikidataQ57429339 ScholiaQ57429339MaRDI QIDQ5507368

Yichi Zhang, Ana-Maria Staicu, Arnab Maity

Publication date: 19 December 2016

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11295

zbMATH Keywords

linear mixed modelsrestricted likelihood ratio testdiabetesnon-parametric regressiongeneralized \(F\) testtesting for additivitytesting for variance components

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (2)

Testing the absence of random effects in the nested-error regression model using orthogonal transformations ⋮ Testing for additivity in nonparametric heteroscedastic regression models

Uses Software

• NNLS
• gss
• SemiPar
• ElemStatLearn
• gamair
• hgam

Cites Work

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