Estimating Strictly Increasing Regression Functions

DOI10.2307/2286615zbMath0402.62049OpenAlexW4229677384MaRDI QIDQ4187186

F. T. Wright

Publication date: 1978

Full work available at URL: https://doi.org/10.2307/2286615

zbMATH Keywords

ComparisonMaximum Likelihood EstimateLeast Squares LineSimulation TechniquesStein EstimatorsStrictly Increasing RegressionWeighted Average

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10) Linear inference, regression (62J99)

Related Items (10)

Strictly monotone and smooth nonparametric regression for two or more variables ⋮ Estimating convex and strictly convex functions ⋮ Shrinkage estimation for convex polyhedral cones ⋮ Stacked grenander and rearrangement estimators of a discrete distribution ⋮ On the consistency of rank transformed regression ⋮ Order restricted estimators: Some bias results. ⋮ Sensitivity analysis in ordered and restricted parameter models ⋮ Least-squares estimation of two-ordered monotone regression curves ⋮ Active set algorithms for isotonic regression; a unifying framework ⋮ A Bayes estimator for ordered parameters and isotonic Bayesian graduation

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