Tests for Symmetric Error Distribution in Linear and Nonparametric Regression Models

DOI10.1080/03610918.2012.625330zbMath1274.62444OpenAlexW2025029169MaRDI QIDQ4905885

Marie Hušková, Simos G. Meintanis

Publication date: 21 February 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.625330

Mathematics Subject Classification ID

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

Related Items (10)

Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting ⋮ Goodness-of-fit tests for semiparametric and parametric hypotheses based on the probability weighted empirical characteristic function ⋮ Tests for symmetry based on the integrated empirical process ⋮ A Monte Carlo evaluation of the performance of two new tests for symmetry ⋮ Tests for conditional ellipticity in multivariate GARCH models ⋮ A Non‐parametric <scp>ANOVA</scp>‐type Test for Regression Curves Based on Characteristic Functions ⋮ Nonparametric tests for conditional symmetry ⋮ Pairwise distance-based tests for conditional symmetry ⋮ Comments on: ``An updated review of goodness-of-fit tests for regression models ⋮ Tests for validity of the semiparametric heteroskedastic transformation model

Cites Work

• Unnamed Item
• Tests for the error distribution in nonparametric possibly heteroscedastic regression models
• Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions
• On adaptive estimation
• On inconsistent M-estimators
• The empirical characteristic function and its applications
• Adaptive estimation of regression models via moment restrictions
• Permutation tests for reflected symmetry
• Invariant tests for symmetry about an unspecified point based on the empirical characteristic function.
• On consistency of redescending M-kernel smoothers
• Non-parametric Estimation of the Residual Distribution
• Applications of empirical characteristic functions in some multivariate problems
• Testing symmetry in nonparametric regression models
• Omnibus tests for the error distribution in the linear regression model
• A note on testing symmetry of the error distribution in linear regression models

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