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Faculty of Graduate Studies and Research, University of Regina
Bivariate Log Location-Scale Model For Interval-Censored Data
Abstract
dc:description.abstractCensored 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.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MSc)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Statistics
- Grantor dc:publisher
- Faculty of Graduate Studies and Research, University of Regina
- Year dc:date.issued
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Ruili
- Advisor dc:contributor.advisor
-
- Deng, DianLiang
- Committee members dc:contributor.committeemember
-
- Zhao, Yang
- Bae, Taehan
Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:uregina.scholaris.ca:10294/5845