| 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. |
