Regression quantiles and trimmed least squares estimator in the nonlinear regression model

DOI10.1016/0167-9473(88)90078-3zbMath0726.62097OpenAlexW2029891573MaRDI QIDQ804171

Bohumír Procházka

Publication date: 1988

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(88)90078-3

zbMATH Keywords

regression quantilestrimmed least squares estimator

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) General nonlinear regression (62J02)

Related Items (5)

Symmetric regression quantile and its application to robust estimation for the nonlinear regression model ⋮ Preface ⋮ A convergent algorithm for quantile regression with smoothing splines ⋮ Quantile splines with several covariates ⋮ Applied regression analysis bibliography update 1988-89

Cites Work

• Trimmed Least Squares Estimation in the Linear Model
• Regression Quantiles
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