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dc.contributor.advisorNavidi, William Cyrus
dc.contributor.authorJohn, Loren
dc.date.accessioned2007-01-03T05:45:16Z
dc.date.accessioned2022-02-09T08:50:36Z
dc.date.available2007-01-03T05:45:16Z
dc.date.available2022-02-09T08:50:36Z
dc.date.issued2013
dc.identifierT 7331
dc.identifier.urihttps://hdl.handle.net/11124/80121
dc.description2013 Fall.
dc.descriptionIncludes illustrations (some color).
dc.descriptionIncludes bibliographical references (page 67).
dc.description.abstractThe purpose of the study performed was to use changepoint analysis to detect changes in the mean for three important variables in the wireless telecommunications industry. Two methods were used to determine the locations of the changepoints, first being a likelihood method already developed and a second newly proposed method using the maximum distance of the running means. We will use the changepoint locations associated with a specific point in time to determine if this associates with a particular advancement or upgrade to certain sites or the network as a whole. It can ultimately be determined that through our changepoint analysis using both the likelihood method and our newly proposed method, specific changes can be allocated to upgrades to the sites.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2013 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subject.lcshWireless communication systems
dc.subject.lcshChange-point problems
dc.subject.lcshCell phones
dc.titleChangepoint analysis in the wireless telecommunications industry
dc.typeText
dc.contributor.committeememberHering, Amanda S.
dc.contributor.committeememberTenorio, Luis
thesis.degree.nameMaster of Science (M.S.)
thesis.degree.levelMasters
thesis.degree.disciplineApplied Mathematics and Statistics
thesis.degree.grantorColorado School of Mines


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