Exploratory and Multivariate Data Analysis
eBook - ePub

Exploratory and Multivariate Data Analysis

  1. 432 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Exploratory and Multivariate Data Analysis

Book details
Table of contents
Citations

About This Book

With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques.

  • Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones
  • Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples
  • Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques

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Yes, you can access Exploratory and Multivariate Data Analysis by Michel Jambu in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
1991
ISBN
9780080923673
Topic
Mathematics
Subtopic
Mathematical Analysis
Index
Mathematics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright page
  5. Dedication
  6. Preface
  7. Chapter 1: General Presentation
  8. Chapter 2: Statistical Data Elaboration
  9. Chapter 3: 1-D Statistical Data Analysis
  10. Chapter 4: 2-D Statistical Data Analysis
  11. Chapter 5: N-D Statistical Data Analysis
  12. Chapter 6: Factor Analysis of Individuals–Variables Data Sets
  13. Chapter 7: Principal Components Analysis
  14. Chapter 8: 2-D Correspondence Analysis
  15. Chapter 9: N-D Correspondence Analysis
  16. Chapter 10: Classification of Individuals–Variables Data Sets
  17. Chapter 11: Classification and Analysis of Proximities Data Sets
  18. Chapter 12: Computer Aspects of Exploratory and Multivariate Data Analysis
  19. Appendix 1: List of Notations
  20. Appendix 2: Reference Data Sets
  21. References
  22. Author Index
  23. Subject Index