A distribution free test to detect general dependence between a response variable and a covariate in the presence of heteroscedastic treatment effects

DOI10.1002/cjs.10068zbMath1327.62296OpenAlexW2101809622MaRDI QIDQ134914

Siti Tolos, Haiyan Wang, Suojin Wang

Publication date: 31 August 2010

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.10068

zbMATH Keywords

copulahypothesis testingdependency measure\(k\)-nearest neighbours

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) General nonlinear regression (62J02)

Related Items

A new nonparametric lack-of-fit test of nonlinear regression in presence of heteroscedastic variances ⋮ PSSIM

Uses Software

• GLIM
• wwcode

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Distribution-free tests for no effect of treatment in heteroscedastic functional data under both weak and long range dependence
• A central limit theorem for generalized quadratic forms
• An asymptotic decomposition for multivariate distribution-free tests of independence
• A characterization of quasi-copulas
• Tests of independence and randomness based on the empirical copula process
• Rank tests in heteroscedastic multi-way HANOVA
• K-nearest-neighbour non-parametric estimation of regression functions in the presence of irrelevant variables
• An ANOVA-type nonparametric diagnostic test for heteroscedastic regression models
• Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models
• Estimating Optimal Transformations for Multiple Regression and Correlation
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
• Inference from heteroscedastic functional data
• A Primer on Copulas for Count Data
• Modifications of the Farlie-Gumbel-Morgenstern distributions. A tough hill to climb.