- 432 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Exploratory and Multivariate Data Analysis
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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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright page
- Dedication
- Preface
- Chapter 1: General Presentation
- Chapter 2: Statistical Data Elaboration
- Chapter 3: 1-D Statistical Data Analysis
- Chapter 4: 2-D Statistical Data Analysis
- Chapter 5: N-D Statistical Data Analysis
- Chapter 6: Factor Analysis of IndividualsâVariables Data Sets
- Chapter 7: Principal Components Analysis
- Chapter 8: 2-D Correspondence Analysis
- Chapter 9: N-D Correspondence Analysis
- Chapter 10: Classification of IndividualsâVariables Data Sets
- Chapter 11: Classification and Analysis of Proximities Data Sets
- Chapter 12: Computer Aspects of Exploratory and Multivariate Data Analysis
- Appendix 1: List of Notations
- Appendix 2: Reference Data Sets
- References
- Author Index
- Subject Index