Essentials of multivariate data analysis / by Neil H. Spencer
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781466584785
- 519.535 SPE-E
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Library, SPAB G-1 | Non Fiction | 519.535 SPE-E (Browse shelf(Opens below)) | Available | 009010 |
1.Frequently asked questions --
2.Graphical presentation of multivariate data --
3.Multivariate tests of significance --
4.Factor analysis --
5.Cluster analysis --
6.Discriminant analysis --
7.Multidimensional scaling --
8.Correspondence analysis.
this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics
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