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
ISBN9780123800909
9780080923673
9781299536159
Physical Description1 online zdroj (xiii, 474 pages) : illustrations.

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240 1 0 |a Exploration informatique et statistique des données.  |l English 
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300 |a 1 online zdroj (xiii, 474 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Statistical modeling and decision science 
500 |a Translation of: Exploration informatique et statistique des données. 
504 |a Includes bibliographical references a (p. 465-468) and indexes. 
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. 
590 |a Knovel Library  |b ACADEMIC - General Engineering & Project Administration 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
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