IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v16y1967i1p17-35.html
   My bibliography  Save this article

An Analysis of Crimes by the Method of Principal Components

Author

Listed:
  • B. Ahamad

Abstract

The analysis has shown that, for some crimes, most of the variation over recent years can be reproduced by considering only one component. Moreover, this component appears to be identified with population change, suggesting that much of the increase in the crime rate can be “explained” by the rapid increase in population.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jorssc:v:16:y:1967:i:1:p:17-35
    DOI: 10.2307/2985232
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2985232
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2985232?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Tsiamtsouri, Alexandra & Panaretos, John, 1999. "Some Statistical Analysis of Greek Crime Data," MPRA Paper 6353, University Library of Munich, Germany.
    4. 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.
    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. 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.
    7. 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

    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:bla:jorssc:v:16:y:1967:i:1:p:17-35. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.