Benford's law and humanly generated prices in auction houses and buyout systems of virtual worlds

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dc.contributor.authorEndress, Megan Brookeen_US
dc.contributor.committeeChairMarshall, David
dc.contributor.committeeMemberFalley, Brandi
dc.contributor.committeeMemberWheeler, Ann
dc.date.accessioned2014-12-10T19:19:00Z
dc.date.available2014-12-10T19:19:00Z
dc.date.issued1/1/2014en_US
dc.description.abstractThe purpose of this study was to analyze the buyout, or "buy now," prices in auction houses of virtual environments, such as World of Warcraft and Guild Wars 2. Human players interact with an auction house user interface in order to buy or sell in-game items, purchasable with in-game currency. Players wishing to sell items can post their items on the auction house for set lengths of time, as well as set a starting bid amount and/or an amount in which other players can instantly buy the item. Since the establishment of Benford's Law, it has been supported that data generated by humans typically does not follow Benford's Law, proving to be a beneficial tool in detecting fraudulent accounting data. However, this study shows that the leading significant digits of these buyout prices in virtual environments created by humans follow Benford's Law by utilizing Kuiper's goodness of fit V_n test, a modified Kolmogorov-Smirnov test.en_US
dc.identifier.urihttp://hdl.handle.net/11274/3642
dc.language.isoen_USen_US
dc.subjectStatisticsen_US
dc.subjectMathematicsen_US
dc.subjectAuctionen_US
dc.subjectBenforden_US
dc.subjectKuiperen_US
dc.subjectNewcomben_US
dc.subjectVirtualen_US
dc.subjectWarcraften_US
dc.titleBenford's law and humanly generated prices in auction houses and buyout systems of virtual worldsen_US
dc.typeThesisen_US
thesis.degree.collegeCollege of Arts and Sciences
thesis.degree.departmentMathematics and Computer Science
thesis.degree.disciplineMathematics
thesis.degree.grantorTexas Woman's University
thesis.degree.levelMaster
thesis.degree.nameMaster of Science

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