Essentials of multivariate data analysis / by Neil H. Spencer

By:

Spencer, Neil H

Material type: Text

TextLanguage: English Publication details: CRC/Chapman and Hall, 2014. Boca Raton:Description: xiv, 172 pISBN:

9781466584785

Subject(s):

DDC classification:

519.535 SPE-E

Contents:

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.

Summary: 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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	Library, SPAB G-1	Non Fiction	519.535 SPE-E (Browse shelf(Opens below))	Available		009010

Total holds: 0

Browsing Library, SPAB shelves, Shelving location: G-1, Collection: Non Fiction Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.535 ANA Analysis of multivariate social science data /	519.535 COX-I Introduction to multivariate data /	519.535 RAN-B Basic statistics in multivariate analysis /	519.535 SPE-E Essentials of multivariate data analysis /	519.535 STE-A Applied multivariate statistics for the social sciences /	519.535 TIM-A Applied multivariate analysis /	519.535 WAR-A Applied statistics :	Next

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer