Testing for multivariate heteroscedasticity
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Publication:4832415
DOI10.1080/00949650410001646979zbMath1053.62070OpenAlexW2020999210WikidataQ56385196 ScholiaQ56385196MaRDI QIDQ4832415
H. E. T. Holgersson, Ghazi Shukur
Publication date: 4 January 2005
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2077/24416
Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15)
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Cites Work
- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- An extension of a standard test for heteroskedasticity to a systems framework
- Bootstrapping regression models
- Using residuals robustly I: Tests for heteroscedasticity, nonlinearity
- Should stochastic or non-stochastic exogenous variables be used in Monte Carlo experiments?
- Robust Tests for Heteroscedasticity Based on Regression Quantiles
- Testing autocorrelation in a system perspective testing autocorrelation
- Linear Statistical Inference and its Applications
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