Skip Navigation


IMA Journal of Management Mathematics Advance Access originally published online on October 30, 2008
IMA Journal of Management Mathematics 2009 20(2):121-131; doi:10.1093/imaman/dpn027
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
20/2/121    most recent
dpn027v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Volf, P.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The authors 2008. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

This article appears in the following IMA Journal of Management Mathematics issue: Special Issue Mathematics in Sport [View the issue table of contents]

A random point process model for the score in sport matches

Petr Volf{dagger}

Institute of Information Theory and Automation, Pod vodarenkou vezi 8, 18208 Prague, Czech Republic

{dagger} Email: volf{at}utia.cas.cz

Received on 20 August 2007. Accepted on 28 September 2008.

A sequence of goals scored during sport match is modelled as a realization of two dependent random point processes. It is assumed that the scoring intensity of each team has several components depending on time or on factors describing the teams and other conditions of the match. This dependence is modelled with the aid of a semi-parametric multiplicative regression model of intensity. A method of model evaluation is presented and demonstrated on a real data set. Prediction obtained from the model via the Monte Carlo simulation is compared with real results.

Keywords: sport statistics; random point process; scoring intensity; Cox's regression model; football


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.