Algorithm for Detection of Illegal Discounting in North Carolina Education Lottery
Jiayi Fu (),
Jack Prothero () and
Jan Hannig ()
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Jiayi Fu: The University of North Carolina at Chapel Hill
Jack Prothero: The University of North Carolina at Chapel Hill
Jan Hannig: The University of North Carolina at Chapel Hill
Sankhya B: The Indian Journal of Statistics, 2024, vol. 86, issue 1, No 9, 224-240
Abstract:
Abstract The lottery is a very lucrative industry. Popular fascination often focuses on the largest prizes. However, less attention has been paid to detecting unusual lottery buying behaviors at lower stakes. Our paper introduces a new model to detect illegal discounting in the North Carolina Education Lottery using statistical analysis of net gains and ticket buying habits. Nine outlying players are flagged and are further examined using a proposed stochastic model to calculate the range of their possible losses in the lottery. The unusual buying patterns of the players flagged as outliers are further confirmed using a K-means clustering analysis of lottery store visiting behaviors.
Keywords: Illegal lottery discounting detection; Entropy; K-means; Stochastic model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13571-024-00323-1
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