Model checking in errors-in-variables regression

DOI10.1016/j.jmva.2008.02.034zbMath1151.62033OpenAlexW2050778735MaRDI QIDQ957322

Wei-xing Song

Publication date: 27 November 2008

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2008.02.034

zbMATH Keywords

minimum distancelack-of-fit testerrors-in-variables modeldeconvolution kernel estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Monte Carlo methods (65C05)

Related Items (9)

An updated review of goodness-of-fit tests for regression models ⋮ Model checking in Tobit regression with measurement errors using validation data ⋮ A minimum projected-distance test for parametric single-index Berkson models ⋮ Data-driven model checking for errors-in-variables varying-coefficient models with replicate measurements ⋮ Uniform confidence bands for nonparametric errors-in-variables regression ⋮ SPECIFICATION TESTING FOR ERRORS-IN-VARIABLES MODELS ⋮ Lack-of-fit testing in errors-in-variables regression model with validation data ⋮ Consistent test of error-in-variables partially linear model with auxiliary variables ⋮ Improved statistical inference on semiparametric varying-coefficient partially linear measurement error model

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