Bootstrap test for difference between means in nonparametric regression /

Bootstrap test for difference between means in nonparametric regression /

A bootstrap test is proposed for detecting a difference between two mean functions in the setting of nonparametric regression. Error distributions in the regression model are permitted to be arbitrary and unequal. The test enjoys power properties akin to those in a parametric setting, in the sense t...

Full description

Bibliographic Details
Main Authors: Hall, Peter, 1951-2016 (Author), Hart, Jeffrey D. (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, [1989]
Series:Technical report (Texas A & M University. Department of Statistics) ; no. 57.
Subjects:
Bootstrap (Statistics)
Regression analysis.
Nonparametric statistics.
Kernel functions.
Analysis of covariance.
Mathematical statistics.
Statistics > Nonparametric inference > Nonparametric regression.
Kernel estimates
Local alternatives

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.57
 
Call Number Status Get It
QA276.A12 T4 no.57 Available