Nonparametric kernel regression estimation near endpoints.
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Publication:1298705
DOI10.1016/S0378-3758(97)00082-7zbMath1041.62507MaRDI QIDQ1298705
William R. Schucany, Cha Kyung-Joon
Publication date: 1998
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- Variable bandwidth kernel estimators of regression curves
- Nonparametric regression analysis of longitudinal data
- Hierarchies of higher order kernels
- Boundary modification for kernel regression
- Smooth optimum kernel estimators near endpoints
- Incorporating support constraints into nonparametric estimators of densities
- Improvement of Kernel Type Density Estimators
- Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
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