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The Pythagorean Won-Loss Formula and Hockey: A Statistical Justification for Using the Classic Baseball Formula as an Evaluative Tool in Hockey
The Pythagorean Won-Loss Formula Hockey Statistical Justification Baseball Formula Evaluative Tool
2012/9/17
Originally devised for baseball, the Pythagorean Won-Loss formula estimates the percentage of games a team should have won at a particular point in a season. For decades, this formula had no mathemat...
Semi-parametric Bayesian Inference for Multi-Season Baseball Data
Dirichlet Process Partial Exchangeability Semiparametric Random Effects
2009/9/22
We analyze complete sequences of successes (hits, walks, and sacrices)
for a group of players from the American and National Leagues, collected over
4 seasons. The goal is to describe how players pe...
Hierarchical Bayesian Modeling of Hitting Performance in Baseball
Hierarchical Bayesian Modeling Hitting Performance Baseball
2010/3/18
We have developed a sophisticated statistical model for predicting the hitting performance
of Major League baseball players. The Bayesian paradigm provides a principled
method for balancing past per...
We present a quantitative analysis of throwing ability for major league outfielders
and catchers. We use detailed game event data to tabulate success and failure events
in outfielder and catcher thr...