Essentials of Multivariate Data Analysis: 1st Edition (e-Book) book cover

Essentials of Multivariate Data Analysis

1st Edition

By Neil H. Spencer

Chapman and Hall/CRC

186 pages

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pub: 2013-12-17
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Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike m

Table of Contents

Frequently Asked Questions. Graphical Presentation of Multivariate Data. Multivariate Tests of Significance. Factor Analysis. Cluster Analysis. Discriminant Analysis. Multidimensional Scaling. Correspondence Analysis. References. Index.

About the Author

Dr. Neil H. Spencer is a reader in applied statistics and director of the Statistical Services and Consultancy Unit at the University of Hertfordshire. His research interests include multilevel models, multivariate methods, statistical computing, multiple testing, and testing for randomness.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General