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Intro Correspondence Analysis
Contributor(s): Beh (Author)
ISBN: 1119041945     ISBN-13: 9781119041948
Publisher: John Wiley & Sons
OUR PRICE:   $65.50  
Product Type: Hardcover - Other Formats
Published: January 1900
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Multivariate Analysis
Dewey: 519.537
LCCN: 2020034475
Physical Information: 0.56" H x 6.69" W x 9.61" (1.27 lbs) 240 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Master the fundamentals of correspondence analysis with this illuminating resource

An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence analysis, including the statistical and visual aspects of the subject.

Written in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis.

Readers will benefit from explanations of a wide variety of specific topics, for example:

  • Simple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points
  • Non-symmetrical correspondence analysis, including quantifying asymmetric associations
  • Simple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables
  • Multiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking
  • Multi-way correspondence analysis, including symmetric multi-way analysis

Perfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data, An Introduction to Correspondence Analysis will also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.