Exploratory and multivariate data analysis
Title:
Exploratory and multivariate data analysis
Author:
Jambu, Michel.
ISBN:
9780080923673
9781299536159
Personal Author:
Uniform Title:
Exploration informatique et statistique des données. English
Publication Information:
Boston : Academic Press, ©1991.
Physical Description:
1 online resource (xiii, 474 pages) : illustrations.
Series:
Statistical modeling and decision science
Statistical modeling and decision science.
Contents:
Machine derived contents note: Table of contents for Exploratory and multivariate data analysis / Michel Jambu. -- Bibliographic record and links to related information available from the Library of Congress catalog -- Information from electronic data provided by the publisher. May be incomplete or contain other coding. -- General Presentation. Statistical Data Exploration. 1-D Statistical Data Analysis. 2-D Statistical Data Analysis. N-D Statistical Data Analysis. Factor Analysis of Individuals-Variables Data Sets. Principal Components Analysis. 2-D Correspondence Analysis. N-D Correspondence Analysis. Classification of Individuals-Variables Data Sets. Classification and Analysis of Proximities Data Sets. Computer Aspects of Advanced Exploratory Data Analysis. Appendix 1: List of Notations. Appendix 2: Reference Data Sets. References. Author Index. Subject Index. Data Analysis News. -- Library of Congress subject headings for this publication: Mathematical statistics Data processing.
Abstract:
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.
Electronic Access:
ScienceDirect http://www.sciencedirect.com/science/book/9780123800909Available:*
Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| QA276.4 .J3613 1991 | 1182502-1001 | Elsevier E-Book Collections | Searching... |
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