The trimmed mean in the linear model

From MaRDI portal
Publication:1822433

DOI10.1214/aos/1176350248zbMath0618.62074OpenAlexW2076875295MaRDI QIDQ1822433

A. H. Welsh

Publication date: 1987

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176350248




Related Items (25)

The trimmed mean in non-parametric regression function estimationRobust Winsorized Regression Using Bootstrap ApproachA trimmed mean of location of an AR\((\infty)\) stationary processOn the use of \(L\)-functionals in regression modelsSome results on multiple regression analysis with data cleaned by trimming and winsorizationLeast sum of squares of trimmed residuals regressionPeak-insensitive parametric spectrum estimationRestricted regression quantilesGlobal nonparametric estimation of conditional quantile functions and their derivativesGeneralized and pseudo-generalized trimmed means for the linear regression with AR(1) error modelLinear trimmed means for the linear regression with AR(1) errors modelTrimmed Mean Isotonic RegressionBayesian estimation based on trimmed samples from Pareto populationsWeibull inference using trimmed samples and prior informationAsymptotic normality of \(L\)-statistics based on \(m(n)\)-decomposable time seriesSequential estimation in regression models using analogues of trimmed meansTrimmed slope estimates for simple linear regressionReliability inference and sample-size determination under double censoring for some two-parameter modelsApproximate transformation trimmed mean methods to the test of simple linear regression slope equalityTrimmed least squares estimator as best trimmed linear conditional estimator for linear regression modelL-estimatton for linear heteroscedastic modelsA p-subset property of \(L_ 1\) and regression quantile estimatesA journey in single steps: robust one-step \(M\)-estimation in linear regressionAsymptotic relations between L- and M-estimators in the linear modelOn multivariate quantile regression




This page was built for publication: The trimmed mean in the linear model