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Some Statistical Analysis of Greek Crime Data

Author

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  • Tsiamtsouri, Alexandra
  • Panaretos, John

Abstract

The increase of criminal activity worldwide calls for cooperation in order to combat crime. All over the world, scientists, including Statisticians, of many seemingly unrelated fields are cooperating in order to find methods to prevent or to reduce crime. In this paper we analyze Greek crime data. The data are reported crimes per month or per year for the periods 1987-1997 (for the monthly data) and 1982-1997 (for the annual data). Some of the examined crimes are Commonly Dangerous Crimes, Robbery, Theft, Murder, Rape, Arson, Personal Vengeance, Drug Violations, Smuggling of Antiquities and Beggary. Data about the offenders are also examined. Multivariate methods such as Principal Component Analysis (PCA), and Clustering methods are employed in order to map the crime activity in Greece and point out the areas where certain crimes seem to be increased. Quality Control is employed in order to make inferences about the months when different crimes are more possible to occur.

Suggested Citation

  • Tsiamtsouri, Alexandra & Panaretos, John, 1999. "Some Statistical Analysis of Greek Crime Data," MPRA Paper 6353, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:6353
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    File URL: https://mpra.ub.uni-muenchen.de/6353/1/MPRA_paper_6353.pdf
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    References listed on IDEAS

    as
    1. B. Ahamad, 1967. "An Analysis of Crimes by the Method of Principal Components," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(1), pages 17-35, March.
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    More about this item

    Keywords

    Crime data; Cluster analysis; PCA;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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