Assessing the influence of individual observations on a goodness-of-fit test based on nonparametric regression

DOI10.1016/0167-7152(91)90159-OzbMath0746.62046OpenAlexW2078961312MaRDI QIDQ1176998

Jeffrey S. Simonoff, Chih-Ling Tsai

Publication date: 25 June 1992

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(91)90159-o

zbMATH Keywords

outlierskernel regressionsmoothnessmodel checkingnonparametric regressionlinear regressiongeneralized linear modelsgoodness-of-fit statisticsnonlinear regression modelspseudo-likelihood ratio testM - estimationone - step approximation

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric robustness (62G35) Diagnostics, and linear inference and regression (62J20)

Related Items

Smoothing categorical data, Diagnostic checking for multivariate regression models, Nonparametric checks for single-index models

Uses Software

• AS 222

Cites Work

• A smoothing spline based test of model adequacy in polynomial regression
• Robust regression function estimation
• Robust nonparametric regression with simultaneous scale curve estimation
• A quadratic measure of deviation of two-dimensional density estimates and a test of independence
• On some global measures of the deviations of density function estimates
• Graphical Methods for Assessing Logistic Regression Models
• Testing the Goodness of Fit of a Linear Model Via Nonparametric Regression Techniques
• Some diagnostics for binary logistic regression via smoothing
• On the use of nonparametric regression for model checking
• Robust regression using iteratively reweighted least-squares
• The Hat Matrix in Regression and ANOVA
• Algorithm AS 222: Resistant Smoothing Using the Fast Fourier Transform
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