Date of Award:
5-1992
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Department name when degree awarded
Mathematics
Committee Chair(s)
Michael Windham
Committee
Michael Windham
Committee
Joseph Koebbe
Abstract
This thesis presented a useful tool in regression. Nonparametric linear regression techniques were described in the general context of regression. A comparison of two of these techniques, kernel regression and iterative regression, showed various aspects of nonparametric linear regressors.
Checksum
0da912a8804d20d443cfdeb1f6d8a620
Recommended Citation
Sardy, Sylvain, "A Comparison of Two Linear Nonparametric Regression Techniques" (1992). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7123.
https://digitalcommons.usu.edu/etd/7123
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