Lack-of-fit Tests Based On Partial Sums of Residuals

DOI10.1080/03610926.2013.844256zbMath1334.62076OpenAlexW1926332882MaRDI QIDQ2792281

Yong Lin, Ronald Christensen

Publication date: 8 March 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.844256

zbMATH Keywords

bootstrapasymptotic distributionsimulationlinear modelgoodness of fit

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05)

Related Items (3)

A permutation approach to goodness-of-fit testing in regression models ⋮ Correct specification of design matrices in linear mixed effects models: tests with graphical representation ⋮ Lack of fit tests for linear regression models with many predictor variables using minimal weighted maximal matchings

Cites Work

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• The law of the iterated logarithm for matrix-normed sums of independent random variables and its applications
• Goodness-of-fit tests for nonlinear heteroscedastic regression models
• Model-Checking Techniques Based on Cumulative Residuals
• Goodness-of-Fit Tests for Parametric Regression Models
• Model Checks for Generalized Linear Models
• REGRESSION MODEL FITTING WITH A LONG MEMORY COVARIATE PROCESS
• Alternative Goodness-of-Fit Tests for Linear Models
• On certain limit theorems of the theory of probability

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