A comparative study of monotone nonparametric kernel estimates
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Publication:5290880
DOI10.1080/00949650412331321061zbMath1157.62383OpenAlexW2151016952MaRDI QIDQ5290880
Publication date: 3 May 2006
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2003/4892
Nadaraya-Watson estimatorMonte Carlo simulationorder restricted inferenceisotonic regressionlocal linear regression
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Uses Software
Cites Work
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- A simple nonparametric estimator of a strictly monotone regression function
- Bandwidth choice for nonparametric regression
- Monotone nonparametric regression
- The asymptotic behavior of monotone regression estimates
- Estimating a smooth monotone regression function
- A general projection framework for constrained smoothing.
- Nonparametric kernel regression subject to monotonicity constraints
- Maximum Likelihood Estimates of Monotone Parameters
- On the Estimation of Parameters Restricted by Inequalities
- Smoothing Splines and Shape Restrictions
- Nonparametric estimation of a regression function
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