Density adjusted kernel smoothers for random design nonparametric regression
- 1 December 1997
- journal article
- Published by Elsevier in Statistics & Probability Letters
- Vol. 36 (2) , 161-172
- https://doi.org/10.1016/s0167-7152(97)00059-x
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Versions of Kernel-Type Regression EstimatorsJournal of the American Statistical Association, 1994
- Local Linear Regression Smoothers and Their Minimax EfficienciesThe Annals of Statistics, 1993
- Design-adaptive Nonparametric RegressionJournal of the American Statistical Association, 1992
- Choosing a Kernel Regression EstimatorStatistical Science, 1991
- Convolution type estimators for nonparametric regressionStatistics & Probability Letters, 1988
- A Unifying Approach to Nonparametric Regression EstimationJournal of the American Statistical Association, 1988
- Weighted Local Regression and Kernel Methods for Nonparametric Curve FittingJournal of the American Statistical Association, 1987
- Nonparametric Regression Analysis of Growth CurvesThe Annals of Statistics, 1984
- Nonparametric estimation of a regression functionProbability Theory and Related Fields, 1981
- Smooth Nonparametric Regression Analysis.Published by Defense Technical Information Center (DTIC) ,1979