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dc.contributor.authorPatterson, Courtney
dc.date.accessioned2018-09-08T04:30:16Z
dc.date.available2018-09-08T04:30:16Z
dc.date.issued2018-05
dc.identifier.otherpatterson_courtney_201805_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/patterson_courtney_201805_ms
dc.identifier.urihttp://hdl.handle.net/10724/38497
dc.description.abstractIn this thesis, police reports from the city of San Luis Obispo, California (2009-2017) are explored and analyzed in order to identify various trends and to forecast future criminal activity. In particular, the distributions of the different groups of crimes are visualized over various time periods and several autoregressive integrated moving average (ARIMA) time series models are considered. The graphics are important for reasons such as recognizing trends and patterns over certain periods of time.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectARIMA Models, Crime Data, Forecasting, Time Series
dc.titleA statistical analysis of crime in San Luis Obispo (2009-2017)
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorJaxk Reeves
dc.description.committeeJaxk Reeves
dc.description.committeeCheolwoo Park


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