IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v55y1990i4p657-663.html
   My bibliography  Save this article

A general solution of the weighted orthonormal procrustes problem

Author

Listed:
  • Ab Mooijaart
  • Jacques Commandeur

Abstract

No abstract is available for this item.

Suggested Citation

  • Ab Mooijaart & Jacques Commandeur, 1990. "A general solution of the weighted orthonormal procrustes problem," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 657-663, December.
  • Handle: RePEc:spr:psycho:v:55:y:1990:i:4:p:657-663
    DOI: 10.1007/BF02294614
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294614
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294614?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elliot Cramer, 1974. "On browne's solution for oblique procrustes rotation," Psychometrika, Springer;The Psychometric Society, vol. 39(2), pages 159-163, June.
    2. James Lingoes & Ingwer Borg, 1978. "A direct approach to individual differences scaling using increasingly complex transformations," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 491-519, December.
    3. Peter Schönemann, 1966. "A generalized solution of the orthogonal procrustes problem," Psychometrika, Springer;The Psychometric Society, vol. 31(1), pages 1-10, March.
    4. Michael Browne, 1967. "On oblique procrustes rotation," Psychometrika, Springer;The Psychometric Society, vol. 32(2), pages 125-132, June.
    5. Edmund Peay, 1988. "Multidimensional rotation and scaling of configurations to optimal agreement," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 199-208, June.
    6. Robert Lissitz & Peter Schönemann & James Lingoes, 1976. "A solution to the weighted procrustes problem in which the transformation is in agreement with the loss function," Psychometrika, Springer;The Psychometric Society, vol. 41(4), pages 547-550, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert Boik, 1996. "An efficient algorithm for joint correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 255-269, June.
    2. Martin Koschat & Deborah Swayne, 1991. "A weighted procrustes criterion," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 229-239, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bert Green, 1969. "Best linear composites with a specified structure," Psychometrika, Springer;The Psychometric Society, vol. 34(3), pages 301-318, September.
    2. Bennani Dosse, Mohammed & Kiers, Henk A.L. & Ten Berge, Jos M.F., 2011. "Anisotropic generalized Procrustes analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1961-1968, May.
    3. Edmund Peay, 1988. "Multidimensional rotation and scaling of configurations to optimal agreement," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 199-208, June.
    4. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
    5. Dawn Iacobucci & Doug Grisaffe, 2018. "Perceptual maps via enhanced correspondence analysis: representing confidence regions to clarify brand positions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(3), pages 72-83, September.
    6. Dahl, Tobias & Naes, Tormod, 2006. "A bridge between Tucker-1 and Carroll's generalized canonical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3086-3098, July.
    7. Peter Schönemann, 1966. "Varisim: A new machine method for orthogonal rotation," Psychometrika, Springer;The Psychometric Society, vol. 31(2), pages 235-248, June.
    8. Jos Berge, 2005. "J.C. Gower and G.B. Dijksterhuis.Procrustes problems. New York: Oxford University Press," Psychometrika, Springer;The Psychometric Society, vol. 70(4), pages 799-801, December.
    9. Bijmolt, T.H.A. & Wedel, M., 1996. "A Monte Carlo Evaluation of Maximum Likelihood Multidimensional Scaling Methods," Research Memorandum 725, Tilburg University, School of Economics and Management.
    10. A. Coxon & Charles Jones, 1980. "Multidimensional scaling: exploration to confirmation," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(1), pages 31-73, January.
    11. Kohei Adachi, 2011. "Constrained principal component analysis of standardized data for biplots with unit-length variable vectors," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(1), pages 23-36, April.
    12. P. Bentler, 1968. "Alpha-maximized factor analysis (alphamax): Its relation to alpha and canonical factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 33(3), pages 335-345, September.
    13. Ingwer Borg & Rene Bergermaier, 1981. "Some comments on ‘the structure of subjective well-being in nine western societies’ by andrews and inglehart," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 9(3), pages 265-278, September.
    14. Lazhar Labiod & Mohamed Nadif, 2021. "Efficient regularized spectral data embedding," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(1), pages 99-119, March.
    15. Jos Berge, 1991. "A general solution for a class of weakly constrained linear regression problems," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 601-609, December.
    16. Bruce Korth & Ledyard Tucker, 1975. "The distribution of chance congruence coefficients from simulated data," Psychometrika, Springer;The Psychometric Society, vol. 40(3), pages 361-372, September.
    17. Etienne Wasmer & Cornelia Woll, 2011. "Scientific Project, SciencesPo-LIEPP Interdisciplinary research center for the evaluation of public policies," Working Papers hal-01069485, HAL.
    18. Groenen, P.J.F. & Borg, I., 2013. "The Past, Present, and Future of Multidimensional Scaling," Econometric Institute Research Papers EI 2013-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. J. Ramsay & Jos Berge & G. Styan, 1984. "Matrix correlation," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 403-423, September.
    20. Henk Kiers, 1990. "Majorization as a tool for optimizing a class of matrix functions," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 417-428, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:55:y:1990:i:4:p:657-663. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.