Neil H. Spencer

Essentials of Multivariate Data Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

Accessible to students and researchers without a substantial background in statistics or mathematics, this text explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. It uses an easily understood dataset to help explain the techniques and an Excel add-in to enable basic analyses, with both available on the book's CRC Press web page.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 186
• Erscheinungstermin: 17. Dezember 2013
• Englisch
• ISBN-13: 9781466584792
• Artikelnr.: 57100208

Autorenporträt

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.

Inhaltsangabe

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