rate of new students, supplement rate of enrolled students, employment rate, rate of corporate transferred property, rate of legal burden charge, dependence rate of tuition, property, financial aid per a student, school dropout rate, research allowances per a full-time instructor and teaching rate of irregular instructor. After that, we did multivariate analysis by using discriminant analysis.
1.Introduction
1) Motivation of the study
The heaviest investment in sports team occurs in finding a good player. However, some teams succeed in contracting with players who are devaluated in the market, but some teams fail. Because how well the player plays is not measurable in the first place, many professional leagues make statistics that can support people of interest in this ‘risky’ in
rategy)을 제시해 준다는 것을 알게 되었고 기업들은 예측오류가 가져오는 큰 리스크 때문에 무한경쟁 사회에서의 생존을 위해 발 빠르게 행동하여 정보를 계량화하고 통계분석에 의한 의사결정(decision making)보조기구를 활용하게 되었다. 이러한 통계적 의사결정은 경험적인 의사결정에 대해 확신을 주
Advantage from the process
1. Low Cost from Economies of Scale
Collect huge amount of laundry from its stores & Automation System
Need huge Initial Cost & Fix Cost
However, lower the average cost by ① washing laundries in one location
② reducing labor cost
2. One-day service from the automation laundry system.
및 천재지변 위험 등으로 구분하며, 함수식으로 나타내면 다음과 같다.
YCR = F(X0, XF, XM, XI, Xo)
YCR Corporate Risk(기업의 신용위험), X0; Operational Risk(기업의 영업위험), XF; Financial Risk(기업의 재무위험), XM ; Management Risk(기업의 경영자위험), XI Industry Risk(기업의 산업위험), Xo ; Other Risk(천재지변등 기타위험)