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Volumn 15, Issue 4, 1989, Pages 348-364

Algorithm 676: ODRPACK: Software for Weighted Orthogonal Distance Regression

Author keywords

Errors in variables; measurement error models; nonlinear least squares; orthogonal distance regression

Indexed keywords

MATHEMATICAL STATISTICS; MATHEMATICAL TECHNIQUES--LEAST SQUARES APPROXIMATIONS; STATISTICAL METHODS--REGRESSION ANALYSIS;

EID: 0024885851     PISSN: 00983500     EISSN: 15577295     Source Type: Journal    
DOI: 10.1145/76909.76913     Document Type: Article
Times cited : (196)

References (16)
  • 2
    • 0001470835 scopus 로고
    • A stable and efficient algorithm for nonlinear orthogonal distance regression
    • Boggs, P. T., Byrd, R. H., and Schnabel, R. B. A stable and efficient algorithm for nonlinear orthogonal distance regression. SIAM J. Sci. Stat Comput. 8, 6 (1987), 1052–1078.
    • (1987) SIAM J. Sci. Stat Comput. , vol.8 , Issue.6 , pp. 1052-1078
    • Boggs, P.T.1    Byrd, R.H.2    Schnabel, R.B.3
  • 4
    • 0007179879 scopus 로고
    • A computational examination of orthogonal distance regression
    • Boggs, P. T., Donaldson, J. R., Schnabel, R. B., and Spiegelman, C. H. A computational examination of orthogonal distance regression. J. Econometrics 38, 1/2 (1988), 169–201.
    • (1988) J. Econometrics , vol.38 , Issue.1-2 , pp. 169-201
    • Boggs, P.T.1    Donaldson, J.R.2    Schnabel, R.B.3    Spiegelman, C.H.4
  • 5
    • 84911512615 scopus 로고
    • Issued jointly as Publication NP1277, Numerical Algorithms Group, Oxford, England, and Tech. Rep. ANL-86–43, Argonne National Laboratory, Argonne, III.
    • Cowell, W. R., Hague, S. J., and Iles, R. M. J. Toolpack/1 Introductory Guide. Issued jointly as Publication NP1277, Numerical Algorithms Group, Oxford, England, and Tech. Rep. ANL-86–43, Argonne National Laboratory, Argonne, III., 1986.
    • (1986) Toolpack/1 Introductory Guide
    • Cowell, W.R.1    Hague, S.J.2    Iles, R.M.J.3
  • 7
    • 0023288435 scopus 로고
    • Computational experience with confidence regions and confidence intervals for nonlinear least squares
    • Donaldson, J. R., and Schnabel, R. B. Computational experience with confidence regions and confidence intervals for nonlinear least squares. Technometrics 29, 1 (1987), 67–82.
    • (1987) Technometrics , vol.29 , Issue.1 , pp. 67-82
    • Donaldson, J.R.1    Schnabel, R.B.2
  • 14
    • 0018515759 scopus 로고
    • Basic linear algebra subprograms for FORTRAN usage
    • (Sept.)
    • Lawson, C., Hanson, R., Kincaid, D., and Krogh, F. Basic linear algebra subprograms for FORTRAN usage. ACM Trans. Math. Softw. 5, 3 (Sept. 1979), 308–371.
    • (1979) ACM Trans. Math. Softw. , vol.5 , Issue.3 , pp. 308-371
    • Lawson, C.1    Hanson, R.2    Kincaid, D.3    Krogh, F.4
  • 15
    • 84964522560 scopus 로고
    • The Levenberg-Marquardt algorithm: Implementation and theory
    • G. A. Watson, Ed. Lecture Notes in Mathematics 630, Springer Verlag, Berlin
    • Moré, J. J. The Levenberg-Marquardt algorithm: Implementation and theory. In Numerical Analysis, G. A. Watson, Ed. Lecture Notes in Mathematics 630, Springer Verlag, Berlin 1977, 105–116.
    • (1977) Numerical Analysis , pp. 105-116
    • Moré, J.J.1
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.