Hi all - I would really like to discuss a particular academic paper with someone(s) who have a background in statistics; the article at issue is "PERFORMING BEST WHEN IT MATTERS MOST: EVIDENCE FROM PROFESSIONAL TENNIS" by GONZALEZ-DIAZ, GOSSNER, AND ROGERS. You can find the article online at
and a slide presentation is at:
This paper sets out a model for determining the importance of individual points in a tennis match, which identifies 'important' points as those points which are most correlated with winning or losing the match from a purely statistical sense. The model of point importance in this paper has been used in other studies, but I'm specifically interested in discussing it as an acquaintance of mine recently wrote a tennis book that largely depends on a particular variation / interpretation of this model. There are some technical statistical details to this model that i think make it less relevant for particular purposes, and it's that aspect I would really like to discuss. (Lies, damn lies, and statistics - and all that.)
Anyway, please drop me a line if interested in discussing, thanks.
-frank
and a slide presentation is at:
This paper sets out a model for determining the importance of individual points in a tennis match, which identifies 'important' points as those points which are most correlated with winning or losing the match from a purely statistical sense. The model of point importance in this paper has been used in other studies, but I'm specifically interested in discussing it as an acquaintance of mine recently wrote a tennis book that largely depends on a particular variation / interpretation of this model. There are some technical statistical details to this model that i think make it less relevant for particular purposes, and it's that aspect I would really like to discuss. (Lies, damn lies, and statistics - and all that.)
Anyway, please drop me a line if interested in discussing, thanks.
-frank
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