Essentials of Multivariate Data Analysis - Couverture rigide

Spencer, Neil H.

Couverture rigide

ISBN 10 : 1138462438 ISBN 13 : 9781138462434

Editeur : Chapman and Hall/CRC, 2017

Synopsis

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 most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book‘s CRC Press web page.Providing a firm foundation in the most commonly used multivariate techniques, this text helps readers choose the appropriate method, learn how to apply it, and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab, R, SAS, SPSS, and Stata.

A propos du livre

À propos de l'auteur

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.

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1138462438
• ISBN 13: 9781138462434
• Reliure: Relié
• Nombre de pages: 186
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible