Checking the adequacy of a general linear model with responses missing at random

DOI10.1016/j.jspi.2009.04.024zbMath1167.62037OpenAlexW2004453971MaRDI QIDQ2272114

Zhi-Hua Sun, Qi Hua Wang

Publication date: 5 August 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.04.024

zbMATH Keywords

sensitivity analysisempirical processmissing at randomgeneral linear modellack-of-fit testscore-type test

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (18)

Pairwise distance-based heteroscedasticity test for regressions ⋮ Generalized empirical likelihood for nonsmooth estimating equations with missing data ⋮ Consistent test for parametric models with right-censored data using projections ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Model checking for general linear regression with nonignorable missing response ⋮ Checking nonparametric component for partial linear regression model with missing response ⋮ Goodness-of-fit tests for general linear models with covariates missed at random ⋮ Unnamed Item ⋮ Lack-of-fit testing of a regression model with response missing at random ⋮ Testing conditional independence with data missing at random ⋮ Dimension reduction estimation for central mean subspace with missing multivariate response ⋮ Improved model checking methods for parametric models with responses missing at random ⋮ The transfer principle: a tool for complete case analysis ⋮ Model checks for nonparametric regression with missing data: a comparative study ⋮ Empirical likelihood for nonlinear models with missing responses ⋮ Model checking for parametric regressions with response missing at random ⋮ Consistent model checking procedures for parametric regressions with missing response ⋮ Nonparametric check for partial linear errors-in-covariables models with validation data

Cites Work

• Comparing nonparametric versus parametric regression fits
• Model-Checking Techniques Based on Cumulative Residuals
• Bootstrap Approximations in Model Checks for Regression
• Polynomial Regression With Errors in the Variables
• Goodness-of-fit tests for linear regression models with missing response data
• Generalized two-parameter Lebesgue-Stieltjes integrals and their applications to fractional Brownian fields
• Semiparametric Regression Analysis With Missing Response at Random
• Bootstrap Approximations in Model Checks for Binary Data
• Convergence of stochastic processes
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