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Coverage Accuracy of Confidence Intervals in Nonparametric Regression

Coverage Accuracy of Confidence Intervals in Nonparametric Regression Point-wise confidence intervals for a nonparametric regression function with random design points are considered. The confidence intervals are those based on the traditional normal approximation and the empirical likelihood. Their coverage accuracy is assessed by developing the Edgeworth expansions for the coverage probabilities. It is shown that the empirical likelihood confidence intervals are Bartlett correctable. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

Coverage Accuracy of Confidence Intervals in Nonparametric Regression

Coverage Accuracy of Confidence Intervals in Nonparametric Regression

Acta Mathematicae Applicatae Sinica , Volume 19 (3) – Mar 3, 2017

Abstract

Point-wise confidence intervals for a nonparametric regression function with random design points
are considered. The confidence intervals are those based on the traditional normal approximation and the
empirical likelihood. Their coverage accuracy is assessed by developing the Edgeworth expansions for the
coverage probabilities. It is shown that the empirical likelihood confidence intervals are Bartlett correctable.

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References (16)

Publisher
Springer Journals
Copyright
Copyright © 2003 by Springer-Verlag Berlin Heidelberg
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/s10255-003-0113-3
Publisher site
See Article on Publisher Site

Abstract

Point-wise confidence intervals for a nonparametric regression function with random design points are considered. The confidence intervals are those based on the traditional normal approximation and the empirical likelihood. Their coverage accuracy is assessed by developing the Edgeworth expansions for the coverage probabilities. It is shown that the empirical likelihood confidence intervals are Bartlett correctable.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Mar 3, 2017

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