Exploratory and Multivariate Data Analysis
β Scribed by Michel Jambu (Auth.)
- Publisher
- Academic Press
- Year
- 1991
- Tongue
- English
- Leaves
- 473
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
Key Features
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
β¦ Table of Contents
Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages xi-xiii
Chapter 1 - General Presentation, Pages 1-17
Chapter 2 - Statistical Data Elaboration, Pages 19-25
Chapter 3 - 1-D Statistical Data Analysis, Pages 27-62
Chapter 4 - 2-D Statistical Data Analysis, Pages 63-94
Chapter 5 - N-D Statistical Data Analysis, Pages 95-112
Chapter 6 - Factor Analysis of IndividualsβVariables Data Sets, Pages 113-124
Chapter 7 - Principal Components Analysis, Pages 125-167
Chapter 8 - 2-D Correspondence Analysis, Pages 169-239
Chapter 9 - N-D Correspondence Analysis, Pages 241-303
Chapter 10 - Classification of IndividualsβVariables Data Sets, Pages 305-405
Chapter 11 - Classification and Analysis of Proximities Data Sets, Pages 407-418
Chapter 12 - Computer Aspects of Exploratory and Multivariate Data Analysis, Pages 419-426
Appendix 1 - List of Notations, Pages 427-437
Appendix 2 - Reference Data Sets, Pages 439-464
References, Pages 465-468
Author Index, Pages 469-470
Subject Index, Pages 471-474
π SIMILAR VOLUMES
In an exciting return to the roots of factor analysis, Allen Yates reviews its early history to clarify original objectives created by its discoverers and early developers. He then shows how computers can be used to accomplish the goals established by these early visionaries, while taking into accou
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