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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제9권 제5호
- 발행연도
- 2007.1
- 수록면
- 2,127 - 2,134 (8page)
이용수
초록· 키워드
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In this paper support vector machine is used for the semiparametric median regression when the responses are subject to randomly right censoring. We divide the input vector into the linear part and the nonlinear part according to whether the functional form of its effect on the response variable is specified as linear or not. The weights formed with Kaplan-Meir estimates of censoring distribution are used for the proposed method. Experimental results are then presented which indicate the performance of the estimation method.
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참고문헌 (15)
참고문헌 신청
Heuchenne, C / 2005 / Nonlinear Regression with Censored Data
Kaplan, E. L. / 1958 / Nonparametric estimation from incomplete observations / Journal of American Statistical Association 53 : 457 ~ 481
Koul, H. / 1981 / Regression analysis with randomly right censored data / The Annal of Statistics 9 : 1276 ~ 1288
Kuhn, H. W. and Tucker, A. W. / 1951 / Nonlinear programming / Proceedings of 2nd Berkeley Symposium : 481 ~ 492
Smola, A. / 1998 / On a Kernel-Based Method for Pattern Recognition, Regression, Approximation and Operator Inversion / Algorithmica 22 : 211 ~ 231
Kaplan, E. L. / 1958 / Nonparametric estimation from incomplete observations / Journal of American Statistical Association 53 : 457 ~ 481
Koul, H. / 1981 / Regression analysis with randomly right censored data / The Annal of Statistics 9 : 1276 ~ 1288
Kuhn, H. W. and Tucker, A. W. / 1951 / Nonlinear programming / Proceedings of 2nd Berkeley Symposium : 481 ~ 492
Smola, A. / 1998 / On a Kernel-Based Method for Pattern Recognition, Regression, Approximation and Operator Inversion / Algorithmica 22 : 211 ~ 231
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