Removing extraneous effects from baseball performance measures
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ABSTRACT:
The schedule of games between major league baseball teams can be thought of as a non-orthogonal factorial design with nested factors, unequal sample sizes, and missing cells. Treatment of this design as a least squares problem with every effect estimated simultaneously and tested as if it were the last entered into the model leads to a method for removing extraneous variation from offensive and defensive performance measures.
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