Goodness-of-fit tests for linear regression models with missing response data

DOI10.1002/cjs.5550340111zbMath1096.62041OpenAlexW1994207898MaRDI QIDQ5476456

Wenceslao González Manteiga, Ana Pérez-González

Publication date: 14 July 2006

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

Full work available at URL: https://doi.org/10.1002/cjs.5550340111

zbMATH Keywords

bootstrapnonparametric regressionmissing at randomgoodness-of-fit testmultivariate local linear smoother

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric statistical resampling methods (62G09)

Related Items (18)

Checking the adequacy for a distortion errors-in-variables parametric regression model ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Partially linear varying coefficient models with missing at random responses ⋮ Model checking for general linear regression with nonignorable missing response ⋮ Goodness-of-fit tests for general linear models with covariates missed at random ⋮ Order selection tests with multiply imputed data ⋮ Nonparametric variance function estimation with missing data ⋮ Model checking for general linear error-in-covariables model with validation data ⋮ Checking the adequacy of a general linear model with responses missing at random ⋮ Projection-based consistent test for linear regression model with missing response and covariates ⋮ Improved model checking methods for parametric models with responses missing at random ⋮ Model checking for partially linear models with missing responses at random ⋮ The transfer principle: a tool for complete case analysis ⋮ Model checks for nonparametric regression with missing data: a comparative study ⋮ Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable ⋮ Efficiently estimating the error distribution in nonparametric regression with responses missing at random ⋮ Model checking for parametric regressions with response missing at random ⋮ Consistent model checking procedures for parametric regressions with missing response

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A consistent test of functional form via nonparametric estimation techniques
• Testing the hypothesis of a general linear model using nonparametric regression estimation
• Multivariate locally weighted least squares regression
• Some higher-order theory for a consistent non-parametric model specification test
• Nonparametric regression estimation with missing data
• Goodness-of-fit test for linear models based on local polynomials
• Nonparametric Mean Estimation with Missing Data
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• Empirical Likelihood-based Inference in Linear Models with Missing Data
• Empirical likelihood for linear regression models under imputation for missing responses
• Optimal designs for testing the functional form of a regression via nonparametric estimation techniques

This page was built for publication: Goodness-of-fit tests for linear regression models with missing response data