IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v31y1982i1p14-22.html
   My bibliography  Save this article

New Lamps for Old: An Exploratory Analysis of Running Times in Olympic Games

Author

Listed:
  • Samprit Chatterjee
  • Sangit Chatterjee

Abstract

In this paper, we analyse the winning times in the men's 100, 200, 400 and 800 metres run in the Olympic Games from 1900 to 1976. A non‐linear model is fitted to each of the series, and an estimate of the best attainable time for each of these events is obtained. The entire data are then analysed as two‐way classified data, to examine the effect on running times of distance of the race, and the year in which the Games were held. The “year effects” will estimate improvements in techniques and training methods over the years. The effect of the altitude of the meet on reported times is also studied. Two methods of analysis—mean and median fitting— are presented for comparative purposes. The times for these events in the 1980 Olympics are predicted using the fitted models and are compared with the observed times. A set of predictions for the 1984 Olympics is provided for future comparison.

Suggested Citation

  • Samprit Chatterjee & Sangit Chatterjee, 1982. "New Lamps for Old: An Exploratory Analysis of Running Times in Olympic Games," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(1), pages 14-22, March.
    • Handle: RePEc:bla:jorssc:v:31:y:1982:i:1:p:14-22
    DOI: 10.2307/2347070
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347070
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347070?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. Stephenson Alec G. & Tawn Jonathan A., 2013. "Determining the Best Track Performances of All Time Using a Conceptual Population Model for Athletics Records," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 67-76, March.

    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:31:y:1982:i:1:p:14-22. 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.