An Introduction to Correspondence Analysis
Book Details
Format
Hardback or Cased Book
Book Series
Wiley Series in Probability and Statistics
ISBN-10
1119041945
ISBN-13
9781119041948
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
SG
Country of Publication
GB
Publication Date
Apr 22nd, 2021
Print length
240 Pages
Weight
566 grams
Dimensions
17.50 x 24.90 x 2.20 cms
Product Classification:
Probability & statistics
Ksh 9,350.00
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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 pointsNon-symmetrical correspondence analysis, including quantifying asymmetric associationsSimple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variablesMultiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stackingMulti-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.
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