Probit regression with application on baseball games
碩士 === 國立新竹教育大學 === 應用數學系碩士班 === 98 === In this paper, by the Major League Baseball in 2009 the season Yankee team routine match, uses for the first 60 team's offensive and defensive result to forecast competition's victory and defeat. After reference baseball related literature, we choose...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/98769576656235291010 |
| Summary: | 碩士 === 國立新竹教育大學 === 應用數學系碩士班 === 98 === In this paper, by the Major League Baseball in 2009 the season Yankee team routine match, uses for the first 60 team's offensive and defensive result to forecast competition's victory and defeat. After reference baseball related literature, we choose the material come from the starting pitcher's earned run average and the team accumulates the batting average, by the Probit regression model estimated that the parameter and forecasts the following competition's victory and defeat. Estimated by way of the model the parameter uses for to forecast in the future 20 competitions, we discovered this method the forecast potency is in the acceptable scope.
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