$L_1$ estimation for the simple linear regression model단순선형회귀모형에서의 $L_1$ 추정
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Kim, Byung-Chun | - |
| dc.contributor.advisor | 김병천 | - |
| dc.contributor.author | Sunwoo, Ha-Sik | - |
| dc.contributor.author | 선우하식 | - |
| dc.date.accessioned | 2011-12-14T04:57:49Z | - |
| dc.date.available | 2011-12-14T04:57:49Z | - |
| dc.date.issued | 1986 | - |
| dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=65062&flag=dissertation | - |
| dc.identifier.uri | http://hdl.handle.net/10203/42285 | - |
| dc.description | 학위논문(석사) - 한국과학기술원 : 응용수학과, 1986.2, [ [ii], 20 p. ] | - |
| dc.description.abstract | When the error term does not follow the normal distribution in the linear regression model, the least absolute values estimation is considered as one of the alternative methods to the least squares estimation. Many algorithms have been developed to solve the L$_1$ estimation. The direct descent algorithm to solve the overdetermined linear system in the L$_1$ norm can be applied easily to solve the linear regression problem. In this thesis, the direct descent method is modified to solve the simple linear regression problem and the results of the comparison with other algorithms are given. | eng |
| dc.language | eng | - |
| dc.publisher | 한국과학기술원 | - |
| dc.title | $L_1$ estimation for the simple linear regression model | - |
| dc.title.alternative | 단순선형회귀모형에서의 $L_1$ 추정 | - |
| dc.type | Thesis(Master) | - |
| dc.identifier.CNRN | 65062/325007 | - |
| dc.description.department | 한국과학기술원 : 응용수학과, | - |
| dc.identifier.uid | 000841156 | - |
| dc.contributor.localauthor | Kim, Byung-Chun | - |
| dc.contributor.localauthor | 김병천 | - |
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- MA-Theses_Master(석사논문)
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