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For the attending of the "Stats in Sport" group, and anyone else interested. I have been sounding out the museum community regarding "Maths in Sport" exhibitions. There is a lot of enthusiasm, and even some concrete ideas. Would the RSS group, or any individuals, be interested to get involved in this? Please let me know. JOHN BIBBY On 16 October 2013 12:41, McHale Ian <[log in to unmask]> wrote: > Dear All, > > > The next meeting of the Statistics in Sports Section of the Royal > Statistical Society is to be held on Monday 2nd December from 4 – 6.15pm > at RSS Headquarters on Errol Street, London. > > > We have two talks on the theme of corruption in football: > > > *James Reade (University of Reading)*: *Detecting Corruption in Football* > > In this talk corruption in football is discussed, noting that, if > effective, it must cause outliers in econometric models. It is argued that > such corrupt activity can, in principle, be detected and understood better > using econometric methods. Using the recent scandal affecting the lower > divisions of Italian football, known as Scommessopoli, to test this > approach, evidence indicative of corrupt activity is found. It would appear > then that such `forensic economics' has a promising future as both the > availability of data, and the methods for understanding it, develop yet > further. > > *Giambattista Rossi (University of East London) & Fiona Carmichael > (University of Birmingham)*: *Production, Efficiency and Corruption in > Italian Serie A Football* > > This talk uses data for Italian Serie A football to estimate the relative > efficiency of the clubs playing in it. While there has been considerable > research on efficiency in Spain's La Liga and the English Premier League, > corresponding evidence relating to Serie A is limited. This talk addresses > this imbalance utilising a panel dataset comprising season aggregated match > statistics for 36 clubs that played in Serie A over ten seasons from > 2000/01 to 2009/10 inclusive. The seasons covered by the data include those > affected by the Calciopoli corruption scandal and we incorporate indicators > for these events in the statistical model. Factor analysis is used to > construct composite measures of direct inputs reflecting playing > performance, which are incorporated in the team production function. This > procedure employs factor loadings from principal components factor > analysis, with the use of composite measures reducing the number of > performance measures and increasing the available degrees of freedom. This > allows for the inclusion of additional team specific measures as well as > indicators for managerial change and Calciopoli scandal effects in the > estimating model. The results highlight the importance of attacking play in > Serie A, the role played by historic success or lack of it and, more > tentatively, the potential gains and also costs from fraudulent behaviour. > > All are welcome and tea and coffee will be available from 3.30pm. The > talks will be preceded by our Section AGM from 4.00-4.15pm > > > > Directions to the venue can be found here: > > > http://www.rss.org.uk/site/cms/contentCategoryView.asp?category=142. > > > Please register your attendance by emailing the RSS at [log in to unmask] > > > Best wishes, > > > Ian McHale > You may leave the list at any time by sending the command > > SIGNOFF allstat > > to [log in to unmask], leaving the subject line blank. > You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.