Exploratory and Multivariate Data Analysis
Published on 9. September 1991
Book
Hardback
432 pages
978-0-12-380090-9 (ISBN)
Description
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.
Reviews / Votes
"The book is written in a rigorous and engaging style and invokes interest in correspondence analysis and related topics. It will be useful to all researchers engaged in statistical data analysis and will be a welcome addition to any library." --ZENT FUR MATHEMATIK UND IWE GRENZGEBIETEMore details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Researchers, students, and professionals who analyze data in any field, including economics, geology, marketing, psychology, linguistics, social sciences, medicine, chemistry, biology, business administration, telecommunications, and engineering sciences.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
820 gr
ISBN-13
978-0-12-380090-9 (9780123800909)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Michel Jambu
Exploratory and Multivariate Data Analysis
E-Book
08/1991
Academic Press
€54.95
Available for download
Content
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.