Talk:Multivariate analysis

please edit this article
This article is far too technical to be helpful to the layperson, in addition to focusing on particular applications of multivariate analysis, which aren't particularly helpful. Would someone with relevant expertise do a major rewrite of this?

Agreed, even with an MBA, this does not give a reader a reasonably understandable description206.165.64.10 (talk) 17:46, 29 January 2008 (UTC)

I have added PCA to the "see also" section, based on the statement in the first sentence in the preface of Jolliffe I.T. Principal Component Analysis, Series: Springer Series in Statistics, 2nd ed., Springer, NY, 2002, XXIX, 487 p. 28 illus. ISBN 978-0-387-95442-4:

"Principal component analysis is probably the oldest and best known of the techniques of multivariate analysis." —Preceding unsigned comment added by 80.171.194.142 (talk) 09:42, 19 May 2008 (UTC)

The purpose of the article cannot be a true layman description of that important scientific concept. That is probably too difficult to achieve, however, anyone with a reasonable general training in maths (say first year university of a scientific/financial curriculum) should be able to get the gist of it, especially, when and where to use the device, its success, its failures, its potential. A bit of history would help too. We are not there yet. —Preceding unsigned comment added by 96.20.57.113 (talk) 21:58, 22 June 2008 (UTC) i have gone through the content and feel its too technical to understand apart from that there is no explanation or examples to questions like what is MVA why do we use it, when do we use it and how do we select different techniques.

- *{{cite book| author=R Khattree, and DN Naik| title = Multivariate Data reduction and Discrimination with SAS Software. John Wiley/SAS Press,
 * Biltgen, Patrick T., Ender, Tommer R., Cole, Bjorn, and Dimitri N. Mavris, Development of a Collaborative Capability-Based Tradeoff Environment for Complex System Architectures, AIAA 2006-0728, Presented at the 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, Jan. 9-12, 2006.
 * Recommended Software for Multivariate Analysis and Pattern Recognition or http://www.mvapr.co.nr/techniques.html
 * Recommended Textbooks on Multivariate Analysis and Pattern Recognition or http://www.mvapr.co.nr/education.html

Multivariate analysis vs. Multivariate statistics
Multivariate Analysis is redirecting to multivariate statistics, whereas this page is analysis. Are these two concepts so closely related that merging the two pages would be useful? Are they so different that they should be kept separated? Or this redirect is just incorrect? Kazkaskazkasako (talk) 13:48, 10 August 2009 (UTC) I have also heard about multivariate statistical analysis (MSA), is it related to the other two? (at least linguistically) —Preceding unsigned comment added by Kazkaskazkasako (talk • contribs) 13:49, 10 August 2009 (UTC)


 * I have fixed Multivariate Analysis to redirect here for now, which is at least logical. Notionally the difference between "Multivariate analysis" and "Multivariate statistics" is much the same as that between "Data analysis" and "Statistics". However this may not be well-reflected in the two articles. Certainly "Multivariate statistics" should include things like the theoretical properties of multivariate distributions and theoretical questions abour making statistical inference either from multivarite data, or about multivariate parameters. As for your last question, one can ponder the difference between "data analysis" and "statistical data analysis". Melcombe (talk) 11:13, 29 January 2010 (UTC)

Jargon issues
I think the problem with the issue is the inapropos use of the word 'dimension.' If anyone agrees, I'll go through and find better terms. Or hopefully our author will make it so.GESICC (talk) 19:40, 28 May 2010 (UTC)GESICC