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dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorWillemain, Thomas R.
dc.contributorRyan, Jennifer K.
dc.contributorChan, Wai Kin (Victor)
dc.contributor.authorHutchison, Kenneth Matthew
dc.date.accessioned2021-11-03T10:23:00Z
dc.date.available2021-11-03T10:23:00Z
dc.date.created2012-04-09T16:23:24Z
dc.date.issued2012-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3496
dc.descriptionMay 2012
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectIndustrial Systems engineering
dc.titleNew methods for forecasting the Cox process
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid33642
dc.digitool.pid33643
dc.digitool.pid33645
dc.digitool.pid33644
dc.digitool.pid33646
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Industrial and Systems Engineering


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.