The Multivariate Dustbin
Phil Ender ()
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Phil Ender: UCLA
2017 Stata Conference from Stata Users Group
When I was in graduate school I was taught that multivariate methods were the future of data analysis. In that dark computer stone age multivariate meant multivariate analysis of variance (MANOVA), linear discriminant function analysis (LDA), canonical correlation analysis (CA) and factor analysis (which will not be discussed in this presentation). Â Statistical software has evolved considerably since those ancient days. Â MANOVA, LDA and CA are still around but have been eclipsed and pushed aside by newer, sexier methodologies. These three methods have been consigned to the multivariate dustbin, so to speak. Â This presentation will review MANOVA, LDA and CA, discuss the connections among the three approaches and highlight the positives and negatives or each approach.
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Persistent link: https://EconPapers.repec.org/RePEc:boc:scon17:1
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