Multiple Correspondence Analysis

Multiple Correspondence Analysis
Author: Brigitte Le Roux
Publisher: SAGE
Total Pages: 129
Release: 2010
Genre: Mathematics
ISBN: 1412968976

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"Requiring no prior knowledge of correspondence analysis, this text provides anontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte Le Roux and Henry Rouanet, present the material in a practical manner, keeping the needs of researchers foremost in mind." "This supplementary text isappropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as forindividual researchers." --Book Jacket.


Applied Correspondence Analysis
Language: en
Pages:
Authors: eric clausen sten
Categories:
Type: BOOK - Published: 1998 - Publisher:

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Multiple Correspondence Analysis
Language: en
Pages: 129
Authors: Brigitte Le Roux
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: SAGE

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"Requiring no prior knowledge of correspondence analysis, this text provides anontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in
An Introduction to Correspondence Analysis
Language: en
Pages: 78
Authors: Eric J. Beh
Categories: Mathematics
Type: BOOK - Published: 2021-04-09 - Publisher: John Wiley & Sons

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Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving t
Correspondence Analysis and Data Coding with Java and R
Language: en
Pages: 253
Authors: Fionn Murtagh
Categories: Mathematics
Type: BOOK - Published: 2005-05-26 - Publisher: CRC Press

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Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe.
Correspondence Analysis Handbook
Language: en
Pages: 684
Authors: Benzecri
Categories: Mathematics
Type: BOOK - Published: 1992-01-22 - Publisher: CRC Press

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This practical reference/text presents a complete introduction to the practice of data analysis - clarifying the geometrical language used, explaining the formu