A comparison of robust estimators in simple linear regression
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Publication:3471498
DOI10.1080/03610918708812645zbMath0695.62156OpenAlexW2019465158MaRDI QIDQ3471498
Publication date: 1987
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.4/8362
Related Items (12)
Post-hocanalyses in multiple regression based on prediction error ⋮ Comparing the variances or robust measures of scale of two dependent variables ⋮ A comparison of fuzzy and nonparametric linear regression ⋮ Unnamed Item ⋮ Consistency and asymptotic distribution of the Theil-Sen estimator ⋮ Comparing robust regression lines associated with two dependent groups when there is heteroscedasticity ⋮ Multivariate analysis of covariance based on residuals ⋮ Robust Multivariate Regression When There is Heteroscedasticity ⋮ Simulations of the Theil-Sen regression estimator with right-censored data ⋮ A simulation study of some nonparametric regression estimators ⋮ Heteroscedastic Global Tests that the Regression Parameters for Two or More Independent Groups are Identical ⋮ Simulation results on extensions of the theil-sen regression estimator
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