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Volumn 12, Issue 4, 2002, Pages 1191-1205

On regression estimators with de-noised variables

Author keywords

De noising; Errors in variables; Kernel; Linear model; Measurement error; Smoothing

Indexed keywords


EID: 0036822235     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (32)

References (15)
  • 3
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    • De-noised least squares estimators: An application to estimating advertising effectiveness
    • Cai, Z., Naik, P. A. and Tsai, C. L. (2000). De-noised least squares estimators: an application to estimating advertising effectiveness. Statist. Sinica 10, 1231-1243.
    • (2000) Statist. Sinica , vol.10 , pp. 1231-1243
    • Cai, Z.1    Naik, P.A.2    Tsai, C.L.3
  • 5
    • 84950936262 scopus 로고
    • Simulation-extrapolation estimation in parametric measurement error models
    • Cook, J. R. and Stefanski, L. A. (1994). Simulation-extrapolation estimation in parametric measurement error models. J. Amer. Statist. Assoc. 89, 1314-1328.
    • (1994) J. Amer. Statist. Assoc. , vol.89 , pp. 1314-1328
    • Cook, J.R.1    Stefanski, L.A.2
  • 6
    • 0002502181 scopus 로고    scopus 로고
    • On parameter estimating in semi-linear EV models
    • Cui H. J. and Li, R. C. (1998). On parameter estimating in semi-linear EV models. J. Multi-variate Anal. 64 1-24.
    • (1998) J. Multi-Variate Anal. , vol.64 , pp. 1-24
    • Cui, H.J.1    Li, R.C.2
  • 7
    • 0041958932 scopus 로고
    • Ideal spatial adaptation by wavelet shrinkage
    • Donoho, D. L. and Johnstone, I. M. (1994). Ideal spatial adaptation by wavelet shrinkage. Biometrika 81, 425-455.
    • (1994) Biometrika , vol.81 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 9
    • 0002684932 scopus 로고
    • Kernel estimation of regression function
    • (Edited by Gasser and Rosenblatt). Springer-Verlag, Heidelberg
    • Gasser, T. and Müller, H. G. (1979). Kernel estimation of regression function. In Smoothing Techniques for curve Estimation (Edited by Gasser and Rosenblatt). Springer-Verlag, Heidelberg.
    • (1979) Smoothing Techniques for Curve Estimation
    • Gasser, T.1    Müller, H.G.2
  • 10
    • 0034420822 scopus 로고    scopus 로고
    • Quantile regression estimates for a class of linear and partially linear errors-in-variables models
    • He, X. and Liang H. (2000). Quantile regression estimates for a class of linear and partially linear errors-in-variables models. Statist. Sinica 10, 129-140.
    • (2000) Statist. Sinica , vol.10 , pp. 129-140
    • He, X.1    Liang, H.2
  • 11
    • 0030343232 scopus 로고    scopus 로고
    • A general Bahadur representation of M-estimators and its application to linear regression with nonstochastic designs
    • He, X. and Shao, Q. M. (1996). A general Bahadur representation of M-estimators and its application to linear regression with nonstochastic designs. Ann. Statist. 24, 2608-2630.
    • (1996) Ann. Statist. , vol.24 , pp. 2608-2630
    • He, X.1    Shao, Q.M.2
  • 13
    • 0033233731 scopus 로고    scopus 로고
    • Estimation in a semiparametric partially linear errors-in-variables model
    • Liang H., Hädle, W. and Carroll, R. J. (1999). Estimation in a semiparametric partially linear errors-in-variables model. Ann. Statist. 27 1519-1535.
    • (1999) Ann. Statist. , vol.27 , pp. 1519-1535
    • Liang, H.1    Hädle, W.2    Carroll, R.J.3
  • 14
    • 84943042620 scopus 로고
    • The fitting of straight lines when both variables are subject to error
    • Madansky, A. (1959). The fitting of straight lines when both variables are subject to error. J. Roy. Statist. Soc. Ser. B 54, 173-205.
    • (1959) J. Roy. Statist. Soc. Ser. B , vol.54 , pp. 173-205
    • Madansky, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.