Bivariate Log Location-Scale Model For Interval-Censored Data
type: CreativeWork
description: 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.
abstract: 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.
author: Li, Ruili
language: en
date published: 2014-09
date modified: 2026-07-24T04:03:43Z
provider: University of Regina
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Faculty of Graduate Studies and Research, University of Regina

PropertyValue
property ID: Handle
value: https://hdl.handle.net/10294/5845

PropertyValue
property ID: DOI
value: 10.82465/4710