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Multiple Correspondence Analysis By Brigitte Le Roux
210.00 EGP

Multiple Correspondence Analysis By Brigitte Le Roux

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210.00 EGP 

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Category Type
Statistics, Research & Compute
ISBN
9781412968973
Author
Brigitte Le Roux
Publisher
Sage
Description:

  • Book Name: Multiple Correspondence Analysis
  • Author: Brigitte Le Roux
  • ISBN: 9781412968973
  • Publisher:Sage
  • Description: This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation is practically oriented and with the needs of research in mind: gathering ...

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PRODUCT INFORMATION

  •  

    Specifications

    Category Type
    Statistics, Research & Compute
    ISBN
    9781412968973
    EAN-13
    9781412968973
    Item EAN
    2724588910039
    People
    Author
    Brigitte Le Roux
    Category Type
    Statistics, Research & Compute
    ISBN
    9781412968973
    EAN-13
    9781412968973
    Item EAN
    2724588910039
    People
    Author
    Brigitte Le Roux
    People
    Publisher
    Sage
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    • Book Name: Multiple Correspondence Analysis
    • Author: Brigitte Le Roux
    • ISBN: 9781412968973
    • Publisher:Sage
    • Description: This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is
    • Book Name: Multiple Correspondence Analysis
    • Author: Brigitte Le Roux
    • ISBN: 9781412968973
    • Publisher:Sage
    • Description: This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation is practically oriented and with the needs of research in mind: gathering relevant data, formulating questions of interest, and linking statistical interpretation to geometric representations. The procedures are presented in detail using a real example, stressing the unique capacity of MCA to handle full scale research studies.
 

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