A power comparison between nonparametric regression tests.

From MaRDI portal
Publication:1427716

DOI10.1016/j.spl.2003.11.005zbMath1102.62049OpenAlexW2003330298MaRDI QIDQ1427716

Chunming Zhang, Dette, Holger

Publication date: 14 March 2004

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

Full work available at URL: https://doi.org/10.1016/j.spl.2003.11.005




Related Items (22)

An adaptive empirical likelihood test for parametric time series regression modelsModel checking in Tobit regression via nonparametric smoothingComparing Conditional Quantile CurvesAn updated review of goodness-of-fit tests for regression modelsA loss function approach to model specification testing and its relative efficiencyChecking nonparametric component for partial linear regression model with missing responseA Review on Dimension-Reduction Based Tests For RegressionsNonparametric specification for non-stationary time series regressionSemiparametric detection of significant activation for brain fMRIAn \(L_2\)-test for comparing spatial spectral densitiesGoodness-of-fit tests for the spatial spectral densityInference of time-varying regression modelsNonparametric inference of quantile curves for nonstationary time seriesSIMULTANEOUS SPECIFICATION TESTING OF MEAN AND VARIANCE STRUCTURES IN NONLINEAR TIME SERIES REGRESSIONGlobal and local two-sample tests via regressionComments on: ``An updated review of goodness-of-fit tests for regression modelsGoodness-of-fit tests in parametric regression based on the estimation of the error distributionComparative studies on the adequacy check of parametric measurement error models with auxiliary variableA scalable nonparametric specification testing for massive dataMeasuring the Discrepancy of a Parametric Model via Local Polynomial SmoothingTime-varying nonlinear regression models: nonparametric estimation and model selectionTesting for additivity in nonparametric quantile regression



Cites Work


This page was built for publication: A power comparison between nonparametric regression tests.