IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/6353.html
   My bibliography  Save this paper

Some Statistical Analysis of Greek Crime Data

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/6353/1/MPRA_paper_6353.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Xinyu & Tong, Howell, 2022. "Asymptotic theory of principal component analysis for time series data with cautionary comments," LSE Research Online Documents on Economics 113566, London School of Economics and Political Science, LSE Library.
    2. Elsy Garnica Olmos, 1996. "Principal component analysis of household budget," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 21(11), pages 55-90, January-D.
    3. Xinyu Zhang & Howell Tong, 2022. "Asymptotic theory of principal component analysis for time series data with cautionary comments," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 543-565, April.
    4. Roy Carr-Hill & Keith Hope & Nick Stern, 1972. "Delinquent generations revisited," Quality & Quantity: International Journal of Methodology, Springer, vol. 6(2), pages 327-351, December.
    5. Paul Windrum & Koen Frenken & Lawrence Green, 2017. "The importance of ergonomic design in product innovation. Lessons from the development of the portable computer," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(6), pages 953-971.
    6. Paul Windrum & Cecilia Diaz & Despoina Filiou, 2009. "Exploring the relationship between technical and service characteristics," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 567-588, August.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:6353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.