Date Thesis Awarded

2003

Document Type

Honors Thesis

Degree Name

Bachelors of Science (BS)

Department

Computer Science

Advisor

Lawrence M. Leemis

Committee Member

Richard H. Prosl

Committee Member

William Cooke

Abstract

"A nonparametric technique for the estimation of the cumulative intensity function for a nonhomogeneous service process from one or more realizations that may contain idle periods is developed. This technique does not require any arbitrary parameters from the modeler. The estimated cumulative intensity function can be used for the generation of variates for simulation via inversion"--Author abstract.

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Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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