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Applied Multivariate Statistical Analysis (6th Edition)
Item #: 40386594

Applied Multivariate Statistical Analysis (6th Edition)

Item #: 40386594

CHF 204

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What Stands Out

Comprehensive Coverage
Offers an extensive exploration of multivariate statistical methods, providing readers with in-depth knowledge that enables effective application to real-world data and enhances analytical proficiency.
Updated Examples
Features contemporary case studies and datasets, illustrating practical applications of techniques in various fields, making the text relevant and engaging for students and professionals alike.
User-Friendly Approach
Designed with clarity in mind, the book presents complex concepts in a straightforward manner, making it accessible for beginners while still providing depth for advanced practitioners.

Product Details

Shop for Applied Multivariate Statistical Analysis 6th Edition online at Ubuy Switzerland. Get the best deals and discounts on this popular book at Ubuy, your Switzerland.
Publisher Pearson
Publication date April 2, 2007
Edition 6th
Language English
Print length 808 pages
ISBN-10 0131877151
ISBN-13 978-0131877153
Item Weight 2.84 pounds (1.29 kg)
Dimensions 7.2 x 1.3 x 9.3 inches (18.3 x 3.3 x 23.6 cm)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for graduate students in statistics or related fields needing comprehensive multivariate analysis concepts and applications.

  • Data Analysts

    Data analysts looking to deepen their understanding of multivariate techniques for practical data interpretation and modeling.

  • Researchers

    Researchers requiring advanced statistical methods for analyzing complex datasets and enhancing their empirical studies.

Not Suitable For
  • Beginner Statisticians

    Not suitable for beginners unfamiliar with basic statistical concepts, as it assumes prior knowledge and skills.

Product Description

Applied Multivariate Statistical Analysis (6th Edition)

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Probability & Statistics Editorial Review

This book is a comprehensive guide to multivariate statistical analysis but is geared towards those with a strong mathematical background. While it covers the basics of linear algebra, the book contains lengthy matrix math derivations and formulae that require manual calculation. The notation can be confusing, and the examples are scattered throughout the book without an index, making it challenging to follow. However, if you have taken calculus and linear algebra courses, this book is an excellent resource. It includes plenty of examples, and each chapter ends with a checklist and discusses how graphical tools can be used to assess statistical techniques' appropriateness. Overall, it is an essential resource for researchers, particularly those interested in multivariate linear regression, principal components, factor analysis, and clustering techniques.

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Pros

  • Comprehensive guide to multivariate statistical analysis
  • Includes plenty of examples and checklists
  • Offers an excellent resource for researchers interested in multivariate linear regression, principal components, factor analysis, and clustering techniques

Cons

  • Geared towards those with a strong mathematical background

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