Convolution type estimators for nonparametric regression

Statistics and Probability Letters

Volumn 7, Issue 3, 1988, Pages 229-239

  Mack, Y P ^a   Müller, Hans Georg ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

concomitants; derivatives; fixed design; kernel estimator; mean squared error; order statistics; random design

Indexed keywords

EID: 45449124975     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-7152(88)90056-9     Document Type: Article

References (9)

1. Nonparametric estimation of a regression function
2. Kernel estimation of regression functions
3. Estimating regression functions and their derivatives by the kernel method
4. Smooth Nonparametric regression Analysis
5. On estimating regression
6. Conditional probability density and regression estimates
7. Smooth regression analysis
8. General distribution theory of the concomitants of order statistics