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MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Edith Seier, Lyndell Kerley, Robert B. Gardner
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.
Thesis - Campus Only
Chen, Yong, "Logspline Density Estimation with an Application to the Study of Survival Data of Lung Cancer Patients." (2004). Electronic Theses and Dissertations. Paper 907. https://dc.etsu.edu/etd/907
Copyright by the authors.