메뉴 건너뛰기




Volumn 18, Issue 2, 2004, Pages 76-80

Calculation of PLS prediction intervals using efficient recursive relations for the Jacobian matrix

Author keywords

Jacobian matrices; Latent variable structure; Partial least squares regression; PLS algorithms; Prediction equation; Prediction intervals

Indexed keywords

FORECASTING; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS;

EID: 3242693305     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.849     Document Type: Article
Times cited : (27)

References (11)
  • 1
    • 0002692783 scopus 로고
    • Soft modeling by latent variables: The non-linear iterative partial least squares approach
    • Gani J (ed.). Academic Press: London
    • Wold H. Soft modeling by latent variables: the non-linear iterative partial least squares approach. In Perspectives in Probability and Statistics, Papers in Honor of M. S. Bartlett, Gani J (ed.). Academic Press: London, 1975; 117-142.
    • (1975) Perspectives in Probability and Statistics, Papers in Honor of M. S. Bartlett , pp. 117-142
    • Wold, H.1
  • 2
    • 0027530250 scopus 로고
    • SIMPLS: An alternative approach to partial least squares regression
    • De Jong S. SIMPLS: an alternative approach to partial least squares regression. Chemometrics Intell. Lab. Syst. 1993; 42: 251-263.
    • (1993) Chemometrics Intell. Lab. Syst. , vol.42 , pp. 251-263
    • De Jong, S.1
  • 3
    • 84946280337 scopus 로고
    • On the structure of partial least squares regression
    • Helland IS. On the structure of partial least squares regression. Commun. Statist.-Simul. Comput. 1988; 17: 581-607.
    • (1988) Commun. Statist.-Simul. Comput. , vol.17 , pp. 581-607
    • Helland, I.S.1
  • 4
    • 0027323006 scopus 로고
    • An approach to interval estimation in partial least squares regression
    • Phatak A, Reilly PM, Penlidis A. An approach to interval estimation in partial least squares regression. Anal. Chim. Acta 1993; 277: 495-501.
    • (1993) Anal. Chim. Acta , vol.277 , pp. 495-501
    • Phatak, A.1    Reilly, P.M.2    Penlidis, A.3
  • 5
    • 0002449524 scopus 로고    scopus 로고
    • Prediction intervals in partial least squares
    • Denham MC. Prediction intervals in partial least squares. J. Chemometrics 1997; 11: 39-52.
    • (1997) J. Chemometrics , vol.11 , pp. 39-52
    • Denham, M.C.1
  • 6
    • 0005913793 scopus 로고    scopus 로고
    • The objective function of partial least squares regression
    • Ter Braak CJF, de Jong S. The objective function of partial least squares regression. J. Chemometrics 1998; 12: 41-54.
    • (1998) J. Chemometrics , vol.12 , pp. 41-54
    • Ter Braak, C.J.F.1    De Jong, S.2
  • 7
    • 0037191668 scopus 로고    scopus 로고
    • Uncertainty estimation for multivariate regression coefficients
    • Faber NM. Uncertainty estimation for multivariate regression coefficients. Chemometrics Intell. Lab. Syst. 2002; 64: 169-179.
    • (2002) Chemometrics Intell. Lab. Syst. , vol.64 , pp. 169-179
    • Faber, N.M.1
  • 11
    • 0000507891 scopus 로고    scopus 로고
    • Pseudo-degrees of freedom for complex predictive models: The example of partial least squares
    • Van der Voet H. Pseudo-degrees of freedom for complex predictive models: the example of partial least squares. J. Chemometrics 1999; 13: 195-208.
    • (1999) J. Chemometrics , vol.13 , pp. 195-208
    • Van Der Voet, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.