지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.8
- 수록면
- 951 - 959 (9page)
이용수
초록· 키워드
오류제보하기
Recently Hazelton and Turlach (2009) proposed a weighted kernel density estimator for the deconvolution problem. In the case of Gaussian kernels and measurement er-ror, they argued that the weighted kernel density estimator is a competitive estimator over the classical deconvolution kernel estimator. In this paper we consider weighted kernel density estimators when sample observations are contaminated by double expo-nentially distributed errors. The performance of the weighted kernel density estimators is compared over the classical deconvolution kernel estimator and the kernel density es-timator based on the support vector regression method by means of a simulation study. The weighted density estimator with the Gaussian kernel shows numerical instability in practical implementation of optimization function. However the weighted density estimates with the double exponential kernel has very similar patterns to the classical kernel density estimates in the simulations, but the shape is less satisfactory than the classical kernel density estimator with the Gaussian kernel.
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
1. [학술지(정기간행물)] - Carroll, R. J. / 1988 / Optimal rates of convergence for deconvoluting a density / Journal of the American Statistical Association 83 : 1184 ~ 1886
2. [단행본] - Carroll, R. J. / 1995 / Measurement error in nonlinear models / Chapman and Hall
3. [학술지(정기간행물)] - Dilaigle, A / 2007 / Frequent problems in calculating integrals and optimizing objective functions: A case study in density estimation / Statistics and Computing 17 : 349 ~ 355
4. [학술지(정기간행물)] - Eggermont, P. / 1997 / Nonlinearly smoothed EM density estimation with augmented smoothing parameter selection for nonparametric deconvolution problems / Journal of the American Statistical Association 92 : 1451 ~ 1458
5. [학술지(정기간행물)] - Fan, J. / 1991 / On the optimal rates of convergence for nonparametric deconvolution problem / Annals of Statistics 19 : 1257 ~ 1272
2. [단행본] - Carroll, R. J. / 1995 / Measurement error in nonlinear models / Chapman and Hall
3. [학술지(정기간행물)] - Dilaigle, A / 2007 / Frequent problems in calculating integrals and optimizing objective functions: A case study in density estimation / Statistics and Computing 17 : 349 ~ 355
4. [학술지(정기간행물)] - Eggermont, P. / 1997 / Nonlinearly smoothed EM density estimation with augmented smoothing parameter selection for nonparametric deconvolution problems / Journal of the American Statistical Association 92 : 1451 ~ 1458
5. [학술지(정기간행물)] - Fan, J. / 1991 / On the optimal rates of convergence for nonparametric deconvolution problem / Annals of Statistics 19 : 1257 ~ 1272
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-041-001375333