[R] Rating competitors
Charles C. Berry
cberry at tajo.ucsd.edu
Tue Dec 26 19:53:33 CET 2006
There is a substantial literature on 'statistics in sports' and pairwise
comparisons are of obvious interest. Here is a starting point:
http://www.amstat.org/sections/sis/
You might browse the newsletters posted there.
You might enjoy:
Bridging Different Eras in Sports by Scott M. Berry, Patrick D. Larkey, C.
Shane Reese; Journal of the American Statistical Association, Vol. 94,
1999
or
Baseball's All-Time Best Hitters: How Statistics Can Level the Playing
Field by Michael J. Schell
http://press.princeton.edu/titles/6550.html
On Tue, 26 Dec 2006, Jeff Newmiller wrote:
> I am looking for hints on how to estimate ratings for competitors
> in an ongoing pairwise competition using R... my particular area of
> interest being the game of Go, but the idea of identifying ratings
> (on a continuous scale) rather than relative rankings seems easily
> generalized to other competitions so I thought someone might be
> studying something related already.
>
> I presume the rating of a competitor would be best modeled as a random
> variate on the rating scale, and an encounter between two
> competitors would be represented by a binary result. Logistic regression
> seems promising, but I am at a loss how to represent the model since
> the pairings are arbitrary and not necessarily repeated often.
>
> I have read about some approaches to estimating ratings for Go,
> but they seem to involve optimization using assumed distributions
> rather than model fitting which characterizes analysis in R.
>
> Does any of this sound familiar? Suggestions for reading, anyone?
>
> --
> ---------------------------------------------------------------------------
> Jeff Newmiller The ..... ..... Go Live...
> DCN:<jdnewmil at dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
> Live: OO#.. Dead: OO#.. Playing
> Research Engineer (Solar/Batteries O.O#. #.O#. with
> /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
>
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cberry at tajo.ucsd.edu UC San Diego
http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0717
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