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Volumn 81, Issue 1, 1999, Pages 13-31

An extension of the mixed primal-dual bases algorithm to the case of more constraints than dimensions

Author keywords

Cone; Dual basis; Least squares; Nonparametric; Regression; Smoothing

Indexed keywords


EID: 0041731132     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-3758(99)00025-7     Document Type: Article
Times cited : (44)

References (6)
  • 1
    • 0009361227 scopus 로고
    • A mixed primal-dual bases algorithm for regression under inequality constraints. Application to convex regression
    • Fraser D.A.S., Massam H. A mixed primal-dual bases algorithm for regression under inequality constraints. Application to convex regression. Scand. J. Statist. 16:1989;65-74.
    • (1989) Scand. J. Statist , vol.16 , pp. 65-74
    • Fraser, D.A.S.1    Massam, H.2
  • 3
    • 0004267646 scopus 로고
    • Princeton University Press, New Jersey
    • Rockafellar, R.T., 1970. Convex Analysis. Princeton University Press, New Jersey.
    • (1970) Convex Analysis
    • Rockafellar, R.T.1
  • 4
    • 0001995852 scopus 로고
    • Some aspects of the spline smoothing approach to nonparametric regression curve fitting
    • Silverman B.W. Some aspects of the spline smoothing approach to nonparametric regression curve fitting. J. Roy. Statist. Soc. B. 47(1):1985;1-52.
    • (1985) J. Roy. Statist. Soc. B. , vol.47 , Issue.1 , pp. 1-52
    • Silverman, B.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.