Monotone Nonparametric Regression and Confidence Intervals

DOI10.1080/03610911003650367zbMath1192.62122OpenAlexW2051506032MaRDI QIDQ3577208

Matthew Strand, Yu Zhang, Bruce J. Swihart

Publication date: 5 August 2010

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610911003650367

zbMATH Keywords

bootstraplocal polynomial regressionjackknifeisotonic regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Monte Carlo methods (65C05)

Related Items (2)

Bootstrap Confidence Intervals for Large-scale Multivariate Monotonic Regression Problems ⋮ Fast and flexible methods for monotone polynomial fitting

Cites Work

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• Nonparametric kernel regression subject to monotonicity constraints
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Feasible Nonparametric Estimation of Multiargument Monotone Functions
• Comparison of Methods for Monotone Nonparametric Multiple Regression
• Strictly monotone and smooth nonparametric regression for two or more variables
• The bootstrap and Edgeworth expansion

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