IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v54y1989i1p53-61.html
   My bibliography  Save this article

Least-squares approximation of an improper correlation matrix by a proper one

Author

Listed:
  • Dirk Knol
  • Jos Berge

Abstract

No abstract is available for this item.

Suggested Citation

  • Dirk Knol & Jos Berge, 1989. "Least-squares approximation of an improper correlation matrix by a proper one," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 53-61, March.
    • Handle: RePEc:spr:psycho:v:54:y:1989:i:1:p:53-61
    DOI: 10.1007/BF02294448
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294448
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294448?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. Terry Gleason & Richard Staelin, 1975. "A proposal for handling missing data," Psychometrika, Springer;The Psychometric Society, vol. 40(2), pages 229-252, June.
    2. Neil Timm, 1970. "The estimation of variance-covariance and correlation matrices from incomplete data," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 417-437, December.
    3. James Frane, 1976. "Some simple procedures for handling missing data in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 409-415, September.
    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. Jos Berge & Henk Kiers, 1993. "An alternating least squares method for the weighted approximation of a symmetric matrix," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 115-118, March.
    2. Peter Bentler & Ke-Hai Yuan, 2011. "Positive Definiteness via Off-diagonal Scaling of a Symmetric Indefinite Matrix," Psychometrika, Springer;The Psychometric Society, vol. 76(1), pages 119-123, January.
    3. Yow-Jen Jou & Chien-Chia Huang & Hsun-Jung Cho, 2014. "A VIF-based optimization model to alleviate collinearity problems in multiple linear regression," Computational Statistics, Springer, vol. 29(6), pages 1515-1541, December.
    4. Hansen, Torben, 2020. "Media framing of Copenhagen tourism: A new approach to public opinion about tourists," Annals of Tourism Research, Elsevier, vol. 84(C).
    5. Martin Bod’a, 2017. "Stochastic sensitivity analysis of concentration measures," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 441-471, 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. C. Hendricks Brown, 1983. "Asymptotic comparison of missing data procedures for estimating factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 269-291, June.
    2. Carl Finkbeiner, 1979. "Estimation for the multiple factor model when data are missing," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 409-420, December.
    3. Lars Pforte & Chris Brunsdon & Conor Cahalane & Martin Charlton, 2018. "Data imputation in a short-run space-time series: A Bayesian approach," Environment and Planning B, , vol. 45(5), pages 864-887, September.
    4. Jae-On Kim & James Curry, 1977. "The Treatment of Missing Data in Multivariate Analysis," Sociological Methods & Research, , vol. 6(2), pages 215-240, November.
    5. Stef Buuren & Jan Rijckevorsel, 1992. "Imputation of missing categorical data by maximizing internal consistency," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 567-580, December.
    6. Olinsky, Alan & Chen, Shaw & Harlow, Lisa, 2003. "The comparative efficacy of imputation methods for missing data in structural equation modeling," European Journal of Operational Research, Elsevier, vol. 151(1), pages 53-79, November.
    7. Jos� Dias Curto & Jos� Castro Pinto, 2011. "The corrected VIF (CVIF)," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1499-1507, June.

    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:54:y:1989:i:1:p:53-61. 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.