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Activity Number:
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127
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #303821 |
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Title:
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Using Regression and Queuing Theory to Establish Voting Machine Allocation Laws
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Author(s):
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Theodore Allen*+ and Fritz Scheuren and Mikhail Bernshteyn
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Companies:
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The Ohio State University and NORC at the University of Chicago and Sagata Ltd.
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Address:
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1971 Neil Avenue, Columbus, OH, 43221,
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Keywords:
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Simulation ; Policy ; Ohio ; Elections ; Politics ; Public Systems
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Abstract:
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We describe our real world case study of applying statistical technology that reduced waiting lines affecting approximately one half million people in Franklin County Ohio, where Columbus is. We illustrate the application of regression for estimating that tens of thousands of voters were deterred in other elections. We also show how elementary queuing theory sheds light on related issues and motivates the allocation method we used with apparent success. Next, we describe how simulation generated a useful warning spurring helpful actions by government and campaign officials. In addition, we describe the developing team and consensus working toward changing federal and local laws to address the fundamental statistical laws governing election waiting lines. Finally, we discuss related open scientific and legal issues.
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