Paramètres
- 1008pages
- 36 heures de lecture
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This book takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced users with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. For those interested in statistical analysis.
Achat du livre
Using Multivariate Statistics, Barbara G. Tabachnick, Linda S. Fidell
- Langue
- Année de publication
- 2005
- Reliure
- (souple)
Modes de paiement
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- Titre
- Using Multivariate Statistics
- Langue
- Anglais
- Auteurs
- Barbara G. Tabachnick, Linda S. Fidell
- Éditeur
- Pearson
- Publié
- 2005
- Format
- souple
- Pages
- 1008
- ISBN10
- 0205465250
- ISBN13
- 9780205465255
- Séries
- Catégories
- Mots clés
- Manuels et guides, Science, Éducation, système scolaire, Recherche, Statistiques, Psychologie de l'éducation
- Description
- This book takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced users with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. For those interested in statistical analysis.