Talk:Multivariate statistics

message: Here are a few possible additions to this page, both as a note for myself and as an invitation for discussion:
* Brief discussion of ordination and classification and how the multivariate techniques listed fit into those categories.
* Link to factor analysis and mention of how it and PCA are related.
* Link to cluster analysis.
* Discussion of the kinds of research questions for which multivariate statistics might be most appropriate.
--Belgrano 23:44, 13 August 2005 (UTC)
replies: text: in multiple regression you can have explanatory variables that are random!  —Preceding unsigned comment added by 69.136.229.162 (talk) 06:01, 10 June 2009 (UTC)

text: Good points. People get those confused all the time.Makewater (talk) 20:11, 6 April 2009 (UTC)
thread_title:  possible additions 

message: I don´t understand why are you listing "regression analysis" as being only a linear regression, and listing logistics models as a separate thing. Isn´t linear regression and logistic regression, as well as probit, tobit, etc. different models of regression, all of them included in "regression analysis"?  —Preceding unsigned comment added by 69.136.229.162 (talk) 05:57, 10 June 2009 (UTC)
thread_title:  regression analysis restricted to the linear case? 

message: I agree with the comment above that "regression" isn't normally considered a multivariate technique (and that "multivariable" seems a better term). It therefore doesn't belong on this page; if it did then there should also be discussion of 2-way ANOVA, etc - indeed the whole category of general linear models, since these allow for multiple predictors.  I'm taking the liberty of removing this now.   Redundancy analysis is the multivariate analogue of regression. RMGunton (talk) 23:51, 16 March 2010 (UTC)
replies: text: The point you make is a valid one. Makewater (talk) 14:18, 1 September 2010 (UTC)
replies: text: The point here shows a confusion between "multivariate regression", in which the dependent variables can be multidimensional, and "multiple regression" in which the independent variables are multidimensional. Thus, in "multivariate regression", the residual for a given observation is multidimensional and hence there is a need to treat the statistical dependence between the elements of the residual vector. Melcombe (talk) 08:44, 2 September 2010 (UTC)
thread_title:  Removing regression 

message: The following entry was under "Types of Analysis" but it appears to be simply an example of a paper that uses multivariate statistics. As such, it doesn't seem to belong here, unless the page were extended with an "examples" section (but this could be almost infinitely long). RMGunton (talk) 21:19, 4 August 2011 (UTC)
thread_title:  Other material removed 

message: Is the InsightsNow link in the external links spam? No relevance to multivariate stats, just landing page of a company.  — Preceding unsigned comment added by 62.25.109.195 (talk) 16:11, 7 January 2013 (UTC)
thread_title:  Spam? 

message: IS LDA limited to the use of normally distributed data?
yes according to here[]
no according to [] or http://bama.ua.edu/~jleeper/627/choosestat.html  — Preceding unsigned comment added by 139.165.143.162 (talk) 18:36, 12 February 2014 (UTC)
thread_title:  IS LDA limited to the use of normally distributed data???? 

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