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Monterey, California. Naval Postgraduate School
A Comparison of Various Non-Parametric Discriminating Procedures When the Populations Are Bivariate Exponentials
Abstract
dc:description.abstractA comparison of the error probabilities for various discriminating rules is performed in the two population cases when nothing is known of the populations other than they are bivariate negative exponential. In most cases, the absolute difference between the error probabilities for each function was very small. However, the Euclidean distance function consistently performed as well as, and sometimes superior to any of the others studied in the this thesis.
Degree
thesis:*- Department dc:contributor.department
- Department of Operations Analysis
- Grantor dc:publisher
- Monterey, California. Naval Postgraduate School
- Year dc:date.issued
- 1969
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lieberman, Jay Edward
- Advisor dc:contributor.advisor
-
- Borsting, Jack
Rights
dc:rights- Statement dc:rights
-
- This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/10945/56193
- OAI identifier oai:identifier
- oai:calhoun.nps.edu:10945/56193