Exploratory and multivariate data analysis

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 mos...

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Bibliographic Details
Main Author Jambu, Michel
Format Electronic eBook
LanguageEnglish
Published Boston : Academic Press, ©1991.
SeriesStatistical modeling and decision science.
Subjects
Online AccessFull text
ISBN9780080923673
0080923674
1299536158
9781299536159
0123800900
9780123800909
Physical Description1 online resource (xiii, 474 pages) : illustrations

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100 1 |a Jambu, Michel. 
240 1 0 |a Exploration informatique et statistique des données.  |l English 
245 1 0 |a Exploratory and multivariate data analysis /  |c Michel Jambu. 
260 |a Boston :  |b Academic Press,  |c ©1991. 
300 |a 1 online resource (xiii, 474 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Statistical modeling and decision science 
504 |a Includes bibliographical references a (pages 465-468) and indexes. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
505 0 |a 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. 
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776 0 8 |i Print version:  |a Jambu, Michel.  |s Exploration informatique et statistique des données. English.  |t Exploratory and multivariate data analysis.  |d Boston : Academic Press, ©1991  |w (DLC) 90023003  |w (OCoLC)22703744 
830 0 |a Statistical modeling and decision science. 
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