Exploratory and Multivariate Data AnalysisBy
- Michel Jambu
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.
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.
Hardbound, 432 Pages
Published: September 1991
Imprint: Academic Press
"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 GRENZGEBIETE
- 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.