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Volumn 54, Issue 1, 2000, Pages 29-34

Multivariate prediction using softly shrunk reduced-rank regression

Author keywords

Missing observations; Multivariate regression; Principal components regression; Ridge regression

Indexed keywords


EID: 0034383789     PISSN: 00031305     EISSN: 15372731     Source Type: Journal    
DOI: 10.1080/00031305.2000.10474504     Document Type: Article
Times cited : (9)

References (11)
  • 1
  • 2
    • 0030150170 scopus 로고    scopus 로고
    • Moderate Projection Pursuit Regression for Multivariate Response Data
    • Aldrin, M. (1996), “Moderate Projection Pursuit Regression for Multivariate Response Data,” Computational Statistics and Data Analysis, 21, 501-531.
    • (1996) Computational Statistics and Data Analysis , vol.21 , pp. 501-531
    • Aldrin, M.1
  • 4
    • 0001497505 scopus 로고
    • Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
    • Anderson, T. W. (1951), “Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions,” Annals of Mathematical Statistics, 22, 327-351.
    • (1951) Annals of Mathematical Statistics , vol.22 , pp. 327-351
    • Anderson, T.W.1
  • 5
    • 0000927638 scopus 로고    scopus 로고
    • Predicting Multivariate Responses in Multiple Linear Regression
    • (with discussion), Series B
    • Breiman, L., and Friedman J. H. (1997), “Predicting Multivariate Responses in Multiple Linear Regression” (with discussion) Journal of the Royal Statistical Society, Series B, 59, 3-54.
    • (1997) Journal of the Royal Statistical Society , vol.59 , pp. 3-54
    • Breiman, L.1    Friedman, J.H.2
  • 7
    • 84952149204 scopus 로고
    • A Statistical View of Some Chemometrics Regression Tools
    • with discussion
    • Frank, I. E., and Friedman, J. H. (1993), “A Statistical View of Some Chemometrics Regression Tools” (with discussion), Technometrics, 35, 109-147.
    • (1993) Technometrics , vol.35 , pp. 109-147
    • Frank, I.E.1    Friedman, J.H.2
  • 8
    • 0018546040 scopus 로고
    • Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights
    • Gabriel, K. R., and Zamir, S. (1979), “Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights,” Technometrics, 21, 489-498.
    • (1979) Technometrics,21 , pp. 489-498
    • Gabriel, K.R.1    Zamir, S.2
  • 9
    • 0001795946 scopus 로고
    • Ridge Regression: Biased Estimation for Nonorthogonal Problems
    • Hoerl, A. E., and Kennard, R. W. (1970), “Ridge Regression: Biased Estimation for Nonorthogonal Problems,” Technometrics, 8, 27-51.
    • (1970) Technometrics , vol.8 , pp. 27-51
    • Hoerl, A.E.1    Kennard, R.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.