Evaluating the adequacy of variance function using pairwise distances
From MaRDI portal
Publication:2089032
DOI10.1007/s42952-022-00168-2zbMath1496.62077OpenAlexW4224292188MaRDI QIDQ2089032
Jian-Qiang Zhao, Yan-Yong Zhao
Publication date: 6 October 2022
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42952-022-00168-2
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09)
Cites Work
- Unnamed Item
- Diagnostics for heteroscedasticity in regression
- A Test for Heteroscedasticity Based on Ordinary Least Squares Residuals
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- A consistent test of functional form via nonparametric estimation techniques
- Multivariate elliptically contoured stable distributions: theory and estimation
- Empirical smoothing lack-of-fit tests for variance function
- Minimum distance conditional variance function checking in heteroscedastic regression models
- Pairwise distance-based heteroscedasticity test for regressions
- A simple test for the parametric form of the variance function in nonparametric regression
- Consistency of general bootstrap methods for degenerate \(U\)-type and \(V\)-type statistics
- Large sample theory for U-statistics and tests of fit
- Heteroscedasticity checks for regression models
- Heteroscedasticity checks for single index models
- A model specification test for the variance function in nonparametric regression
- Approximation Theorems of Mathematical Statistics
- Testing Heteroscedasticity In Nonparametric Regression
- Use of Modified Profile Likelihood for Improved Tests of Constancy of Variance in Regression
- A NONPARAMETRIC GOODNESS-OF-FIT-BASED TEST FOR CONDITIONAL HETEROSKEDASTICITY
- A New Test for the Parametric Form of the Variance Function in Non-Parametric Regression
- A Non‐parametric <scp>ANOVA</scp>‐type Test for Regression Curves Based on Characteristic Functions
- Testing heteroscedasticity in nonlinear and nonparametric regressions
- Assessing the Adequacy of Variance Function in Heteroscedastic Regression Models
- Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests
This page was built for publication: Evaluating the adequacy of variance function using pairwise distances