Analysis of Variance and F-Tests for Partial Linear Models With Applications to Environmental Health Data

DOI10.1198/jasa.2010.ap08274zbMath1390.62127OpenAlexW1981991876MaRDI QIDQ5255573

Li-Shan Huang, Philip W. Davidson

Publication date: 16 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jasa.2010.ap08274

zbMATH Keywords

local linear regressionmethylmercurypenalised least squaressmoother matrix

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (7)

An updated review of goodness-of-fit tests for regression models ⋮ Calculating degrees of freedom in multivariate local polynomial regression ⋮ Nonparametric inference for additive models estimated via simplified smooth backfitting ⋮ Statistical inference on restricted partial linear regression models with partial distortion measurement errors ⋮ Generalized F-test for high dimensional regression coefficients of partially linear models ⋮ Sample size planning for testing significance of curves ⋮ Goodness-of-fit tests in semi-linear models

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