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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.4
- 수록면
- 439 - 446 (8page)
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초록· 키워드
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Quantile regression models with errors in variables have received a great deal of attention in the social and natural sciences. Some efforts have been devoted to develop effective estimation methods for such quantile regression models. In this paper we propose an orthogonal distance quantile regression model that effectively considers the errors on both input and response variables. The performance of the proposed method is evaluated through simulation studies.
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참고문헌 (21)
참고문헌 신청
1. [학술지(정기간행물)] - Boggs, P. T. / 1990 / Orthogonal distance regression / Contemporary Mathematics 112 : 183 ~ 194
2. [학술지(정기간행물)] - Boggs, P. T. / 1987 / A stable and e cient algorithm for nonlinear orthogonal distance regression / SIAM Journal on Scienti c Computing 8 : 105 ~ 1078
3. [보고서] - Chesher, A. / 2001 / Parameter approximations for quantile regressions with measurement error
4. [단행본] - Fuller, W. A. / 1987 / Measurement error models / Wiley
5. [학술지(정기간행물)] - He, X. / 2000 / Quantile regression estimates for a class of linear and partially linear errors-in-variables models / Statistica Sinica 10 : 129 ~ 140
2. [학술지(정기간행물)] - Boggs, P. T. / 1987 / A stable and e cient algorithm for nonlinear orthogonal distance regression / SIAM Journal on Scienti c Computing 8 : 105 ~ 1078
3. [보고서] - Chesher, A. / 2001 / Parameter approximations for quantile regressions with measurement error
4. [단행본] - Fuller, W. A. / 1987 / Measurement error models / Wiley
5. [학술지(정기간행물)] - He, X. / 2000 / Quantile regression estimates for a class of linear and partially linear errors-in-variables models / Statistica Sinica 10 : 129 ~ 140
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UCI(KEPA) : I410-ECN-0101-2018-041-001374856