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Degree Name

MS (Master of Science)

Program

Mathematical Sciences

Date of Award

8-2004

Committee Chair or Co-Chairs

Don Hong

Committee Members

Edith Seier, Lyndell Kerley, Robert B. Gardner

Abstract

A Logspline method of estimating an unknown density function f based on sample data is studied. Our approach is to use maximum likelihood estimation to estimate the unknown density function from a space of linear splines that have a finite number of fixed uniform knots. In the end of this thesis, the method is applied to a real survival data set of lung cancer patients.

Document Type

Thesis - Campus Only

Copyright

Copyright by the authors.

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