Bivariate Log Location-Scale Model For Interval-Censored Data
Censored data is very common in survival analyses and experimental observations. In this thesis, I consider a selected bivariate model concerning censored data. I rst review three basic univariate models, leading to corresponding bivariate models, in more complicated forms. Also I will discuss the properties of an actual, selected bi- variate model with interval-censored data. Then, I would like to derive the likelihood form for bivariate data, and give the maximum-likelihood estimation of the parame- ters. At last, the results of some simulation work, using R, will be showed to verify whether my estimation method is good.
Networked Digital Library of Theses and Dissertations
Faculty of Graduate Studies and Research, University of Regina