Date Thesis Awarded
Honors Thesis -- Open Access
Bachelors of Science (BS)
Lawrence M. Leemis
Richard H. Prosl
"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.
Rozier, Eric, "Nonparametric Estimation of the Cumulative Intensity Function for a Nonhomogeneous Service Process" (2003). Undergraduate Honors Theses. William & Mary. Paper 450.
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