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Essentials of multivariate data analysis / Neil H. Spencer.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, c2014.Description: xiv, 172 p. : illustrations ; 22 cmISBN:
  • 9781466584785 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 000SA.07 23 Sp745
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-- References-- Index.
Summary: This book 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.07 Sp745 (Browse shelf(Opens below)) Available 136378
Total holds: 0

Includes bibliographical references and index.

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--
References--
Index.

This book 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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