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Partial Least Squares for Discrimination

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is "why?" Why can a procedure that is principally designed for over-determined regression problems locate and emphasize group structure? Using PLS in this manner has heuristic support owing to the relationship between PLS and canonical correlations analysis (CCA) and the relationship, in turn, between CCA and linear discriminant analysis (LDA). This dissertation replaces the heuristics with a formal statistical explanation. As a consequence, it will become clear that PLS is to be preferred over principal components analysis (PCA) when discrimination is the goal and dimension reduction is needed.

Product Specifications
SKU :COC38860
AuthorMatthew Barker
LanguageEnglish
BindingPaperback
Number of Pages96
Publishing Year2010-01-10T00:00:00.000
ISBN978-3843356954
Edition1 st
Book TypeStochastics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-01-08 00:00:00