검색연산자 | 기능 | 검색시 예 |
---|---|---|
() | 우선순위가 가장 높은 연산자 | 예1) (나노 (기계 | machine)) |
공백 | 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 | 예1) (나노 기계) 예2) 나노 장영실 |
| | 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 | 예1) (줄기세포 | 면역) 예2) 줄기세포 | 장영실 |
! | NOT 이후에 있는 검색어가 포함된 문서는 제외 | 예1) (황금 !백금) 예2) !image |
* | 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 | 예) semi* |
"" | 따옴표 내의 구문과 완전히 일치하는 문서만 검색 | 예) "Transform and Quantization" |
Baseball is a game well suited for operations analysis, and is already well provided with statistical records of past performances of individuals. For the making of operational decisions before and during a game, the manager must use the existing records of past performances with caution, but he could derive considerable assistance from types of statistics not commonly collected. One such type would show the average performance of a large number of batters in selected circumstances. An example is given which shows that an advantage of 0.032 applies to the batter whose 'handedness' is opposite to that of the pitcher. The sampling error for a season's batting average is too great to permit much useful analysis of the proficiency of one individual in selected circumstances, although special records might be kept in batting practice. The sampling error should be allowed for when judging a new player before he has had several hundred times at bat. Aside from individual performance, data on the chances of a team in selected circumstances would be useful for deciding tactics and changes in the line-up. As an example, an analysis is given of the expectation of runs after a team has filled the bases, and its application to the choice of a defensive strategy.
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