data METODE teori

http://metodesider.info — Datoen i dag er: 21.5.2018

Noen referanser PLS

Av Ronny Klæboe Dato: 26.8.2009

In addition to all the references already suggested by other SEMNETers, for a primer (basic stats) on PLS path modeling, you might want to have a look at:

Falk, R. Frank and Nancy B. Miller (1992). A Primer for Soft Modeling. Akron, Ohio: University of Akron Press. ISBN: 0-9622628-4-6.

http://www.amazon.fr/Primer-Soft-Modeling-Frank-Falk/dp/0962262846

or at some other classical references (but a bit more advanced) such as:

M. Tenenhaus, V. Esposito Vinzi, Y.M. Chatelin, C. Lauro (2005). “PLS Path Modelling”, Computational Statistics and Data Analysis, vol. 48, n. 1, 159-205, North-Holland, The Netherlands.

Dijkstra, Taeke Klaas (1985). Latent variables in linear stochastic models: Reflections on “maximum likelihood” and “partial least squares” methods. 2nd ed. Amsterdam: Sociometric Research Foundation, 1985. ISBN: 9070947056.

Lohmöller, Jan-Bernd. (1989). Latent variable path modeling with partial least squares. New York: Springer-Verlag. ISBN: 0-387-91363-7.

Noonan, Richard B. (1979). PLS path modelling with latent variables: analysing school survey data using partial least squares. Stockholm: Institute of International Education, University of Stockholm.

Wold, Herman. (1981). The fix-point approach to interdependent systems. Amsterdam: North Holland. ISBN: 0-4448-5451-7.


The http://disc-nt.cba.uh.edu/chin/indx.html” title=“website “>website of Wynne Chin is rich of both basic and more advanced stuff:

Finally, by the end of this year, a comprehensive Handbook on PLS methods will appear:

Esposito Vinzi, V., Chin, W.W., Henseler, J., Wang, H. (Eds., 2009): “Handbook of Partial Least Squares: Concepts, Methods and Applications” (Springer Handbooks of Computational Statistics Series). Heidelberg: Springer.


Best,

Vincenzo Esposito Vinzi

 

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