{"id":{"repo_id":"regina","oai_identifier":"oai:uregina.scholaris.ca:10294/5845"},"canonical_url":"https://search.dev.ndltd.org/etd/regina/oai:uregina.scholaris.ca:10294/5845","repository":{"repo_id":"regina","name":"University of Regina","base_url":"https://uregina.scholaris.ca/server/oai/request"},"display":{"title":"Bivariate Log Location-Scale Model For Interval-Censored Data","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.","abstract_html":"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_has_math":false,"creators":["Li, Ruili"],"institution":"Faculty of Graduate Studies and Research, University of Regina","degree_name":"Master of Science (MSc)","degree_level":"Master's","degree_discipline":"Statistics","degree_department":null,"school":null,"contributors":[],"advisors":["Deng, DianLiang"],"committee_chairs":[],"committee_members":["Zhao, Yang","Bae, Taehan"],"year":2014,"date_issued":"2014-09","date_published":"2014-09","updated_at":"2026-07-24T04:03:43Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/4710"],"render_values":[{"text":"https://doi.org/10.82465/4710","href":"https://doi.org/10.82465/4710","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10294/5845","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Deng, DianLiang"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Zhao, Yang","Bae, Taehan"]},{"key":"dc:creator","label":"Author","values":["Li, Ruili"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-07-22T17:44:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-07-22T17:44:00Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-09"]},{"key":"dc:publisher","label":"Institution","values":["Faculty of Graduate Studies and Research, University of Regina"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Statistics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Graduate Studies and Research, University of Regina"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/4710"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10294/5845"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Statistics, University of Regina. viii, 58 p."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Bivariate Log Location-Scale Model For Interval-Censored Data"]}]}],"canonical_facts":{"dc:contributor.advisor":["Deng, DianLiang"],"dc:contributor.committeemember":["Zhao, Yang","Bae, Taehan"],"dc:creator":["Li, Ruili"],"dc:date.accessioned":["2015-07-22T17:44:00Z"],"dc:date.available":["2015-07-22T17:44:00Z"],"dc:date.issued":["2014-09"],"dc:description":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Statistics, University of Regina. viii, 58 p."],"dc:description.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."],"dc:identifier.doi":["https://doi.org/10.82465/4710"],"dc:identifier.uri":["https://hdl.handle.net/10294/5845"],"dc:language.iso":["en"],"dc:publisher":["Faculty of Graduate Studies and Research, University of Regina"],"dc:title":["Bivariate Log Location-Scale Model For Interval-Censored Data"],"dc:type":["master thesis"],"thesis:degree_discipline":["Statistics"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Science (MSc)"],"thesis:institution_name":["Faculty of Graduate Studies and Research, University of Regina"]},"updated_at":"2026-07-24T04:03:43Z"}