Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators
- UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
- Jonathan W. Duggins (Creator)
- Institution
- The University of North Carolina Wilmington (UNCW )
- Web Site: http://library.uncw.edu/
- Advisor
- James Blum
Abstract: The goal of this paper is to present a method for construction of simultaneous
Scheff´e confidence bands for nonparametric prediction functions. The family of nonparametric
functions studied here are of the polynomial-trigonometric series type,
with estimation of the model parameters undertaken in the standard least-squares
framework. After the method is set forth the performance of the procedure is studied
via Monte-Carlo simulations.
Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators
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Created on 1/1/2009
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Additional Information
- Publication
- Thesis
- A Thesis Submitted to the University of North Carolina Wilmington in Partial Fulfillment of the Requirements for the Degree of Master of Science
- Language: English
- Date: 2009
- Keywords
- Confidence intervals, Nonparametric statistics, Prediction theory, Regression analysis
- Subjects
- Confidence intervals
- Regression analysis
- Prediction theory
- Nonparametric statistics