A geometrical method for removing edge effects from kernel-type nonparametric regression estimators /

A geometrical method for removing edge effects from kernel-type nonparametric regression estimators /

We introduce a simple geometric method for removing edge effects from kernel-type nonparametric regression estimators. It involves reflecting the data set in two estimated points, thereby generating a new data set with three times the range of the original data. The usual kernel-type estimator may b...

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Bibliographic Details
Main Authors: Hall, Peter, 1951-2016 (Author), Wehrly, Thomas E., 1947- (Author)
Corporate Author: United States. Office of Naval Research (sponsoring body.)
Format: Book
Language:English
Published: College Station, Texas : Department of Statistics, Texas A & M University, [1990]
Series:Technical report (Texas A & M University. Department of Statistics) ; no. 108.
Subjects:
Kernel functions.
Regression analysis.
Nonparametric statistics.
Estimation theory.
Geometry.
Mathematical statistics.
Statistics > Nonparametric inference > Nonparametric regression.
Design
Cross-validation
Edge effects
Mean squared error

Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)

Holdings details from Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
Call Number: QA276.A12 T4 no.108
 
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