DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Byung-Chun | - |
dc.contributor.advisor | 김병천 | - |
dc.contributor.author | Chi, Sang-Mun | - |
dc.contributor.author | 지상문 | - |
dc.date.accessioned | 2011-12-14T04:59:08Z | - |
dc.date.available | 2011-12-14T04:59:08Z | - |
dc.date.issued | 1993 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=68340&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/42368 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 수학과 전산통계 전공, 1993.2, [ [ii], 34, [2] p. ] | - |
dc.description.abstract | The purpose of this paper is to study the linear relation between the variable x and y. The proposed method determines the best-fitting line using a probability density estimation. It is shown that the method reduced to least-squares method as the bandwidth is increased and that the line which contains data points more than any other lines do is a best-fitting line as bandwidth is decreased. Also, we have shown that the method is insensitive to a few egregious error in the dependent variable as bandwidth is choosed appropriatly. Consequently, the new method gives a various altemative interpretation of the data as bandwidth varies. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.title | Probability density estimation approach in linear regression | - |
dc.title.alternative | 확률 밀도 추정을 이용한 선형 회귀 분석 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 68340/325007 | - |
dc.description.department | 한국과학기술원 : 수학과 전산통계 전공, | - |
dc.identifier.uid | 000911577 | - |
dc.contributor.localauthor | Kim, Byung-Chun | - |
dc.contributor.localauthor | 김병천 | - |
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