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
did multivariate analysis by using discriminant analysis.
The aim of this study is to verify whether the government chose poor performance universities in a reasonable way or not. We will do that by doing discriminant analysis and comparing the results against those of the government’s list. In that way, we would like to explore the data and investigate validity of the government’s list.
Discriminant Analysis (LDA)
LDA는 패턴 인식에서 높은 성능을 보여주는 통계적 기법 중 하나이다. 같은 클래스의 데이터에 존재하는 변화 정보(Within Class)와 다른 클래스의 데이터 간의 변화 정보(Between Class)를 이용하여 각각의 데이터들이 자신의 정보를 잘 나타낼 수 있는 판별식을 만드는 방식이다. 이 방
1) The actual condition of prior entry discrimination in labor market
With the prior entry discrimination in labor market, there are trends that disabled people are recognized as the different people by social structural problem. That's why disabled people are distinguished from the main stream and they are likely to be seen inferior than common people. According to
Different price to different consumers
third degree price discrimination .
classifying customers in accordance with willingness to pay.
The answer from this company:
“frankly speaking, we cannot use price discrimination as much as you can think. Because we make a deal, in advance, with massive scale with our partners. Therefore, there is not much room for differentiating price