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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Jambu, Michel
Formato: Electrónico eBook
Idioma:Inglés
Francés
Publicado: Boston : Academic Press, �1991.
Colección:Statistical modeling and decision science.
Temas:
Acceso en línea:Texto completo

MARC

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240 1 0 |a Exploration informatique et statistique des donn�ees.  |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 
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490 1 |a Statistical modeling and decision science 
504 |a Includes bibliographical references a (pages 465-468) and indexes. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
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. 
588 0 |a Print version record. 
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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650 0 |a Mathematical statistics  |x Data processing. 
650 6 |a Statistique math�ematique  |x Informatique.  |0 (CaQQLa)201-0160038 
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650 7 |a Mathematical statistics  |x Data processing  |2 fast  |0 (OCoLC)fst01012133 
650 1 7 |a Multivariate analyse.  |2 gtt 
653 0 |a Statistical mathematics 
776 0 8 |i Print version:  |a Jambu, Michel.  |s Exploration informatique et statistique des donn�ees. 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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