Logspline Density Estimation with an Application to the Study of Survival Data of Lung Cancer Patients.

<p>A Logspline method of estimating an unknown density function <em>f</em> 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.</p>

Name thesis:degree_name

MS (Master of Science)

Level thesis:degree_level

Thesis - restricted

Discipline thesis:degree_discipline

Mathematical Sciences

Year dc:date.issued

2004

Author dc:creator

• Chen, Yong

• Density estimation
• Maximum likelihood
• Splines
• Survival analysis
• Physical Sciences and Mathematics

Statement dc:rights

• Copyright by the authors.

Repository record dc:identifier

https://dc.etsu.edu/etd/907

OAI identifier oai:identifier

oai:dc.etsu.edu:etd-2064