Skip to main content
Log in

Nonlinear principal components

  • Published:
Quality and Quantity Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Anderson, T.W. (1958). An Introduction to Multivariate Statistical Analysis. New York: Wiley.

    Google Scholar 

  • Darroch, J.N. (1965). “An optimal property of principal components”, Annals of Mathematical Statistics 36: 1579–1982.

    Article  Google Scholar 

  • Gnanadesikan, R. (1977). Methods for Statistical Analysis of Multivariate Observations. New York: Wiley.

    Google Scholar 

  • Henry, N.W. and Lazarsfeld, P.F. (1968). Latent Structure Analysis. Boston, MA: Houghton Mifflin.

    Google Scholar 

  • Hotelling, H. (1933). “Analysis of complex statistical variables into principal components”, Journal of Educational Psychology 26: 417–441, 498–520.

    Google Scholar 

  • McDonald, R.P. (1962). “A general approach to nonlinear factor analysis”, Psychometrika 27: 397–415.

    Google Scholar 

  • McDonald, R.P. (1967). “Numerical methods for polynomial models in nonlinear factor analysis”, Psychometrika 32: 77–112.

    Google Scholar 

  • Rao, C.R. (1964). “The use and interpretation of principal components analysis in applied research”, Sankhya, Serie A 26: 329–358.

    Google Scholar 

  • Varga, R.S. (1962). Matrix Iterative Analysis. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yohai, V.J., Ackermann, W. & Haigh, C. Nonlinear principal components. Qual Quant 19, 53–69 (1985). https://doi.org/10.1007/BF00188648

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00188648

Navigation