Rating competitors
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?
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
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