Back to Search
Start Over
Confidence circles for correspondence analysis using orthogonal polynomials
- Source :
- Journal of Applied Mathematics and Decision Sciences, Vol 5, Iss 1, Pp 35-45 (2001)
- Publication Year :
- 2001
- Publisher :
- Hindawi Limited, 2001.
-
Abstract
- An alternative approach to classical correspondence analysis was developed in [3] and involves decomposing the matrix of Pearson contingencies of a contingency table using orthogonal polynomials rather than via singular value decomposition. It is especially useful in analysing contingency tables which are of an ordinal nature. This short paper demonstrates that the confidence circles of Lebart, Morineau and Warwick (1984) for the classical approach can be applied to ordinal correspondence analysis. The advantage of the circles in analysing a contingency table is that the researcher can graphically identify the row and column categories that contribute or not to the hypothesis of independence.
- Subjects :
- Statistics and Probability
Contingency table
Discrete mathematics
lcsh:Mathematics
Applied Mathematics
Short paper
General Decision Sciences
lcsh:QA1-939
Column (database)
Correspondence analysis
Computational Mathematics
Matrix (mathematics)
Orthogonal polynomials
Singular value decomposition
Independence (mathematical logic)
lcsh:Q
lcsh:Science
Mathematics
Subjects
Details
- ISSN :
- 11739126
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Mathematics and Decision Sciences
- Accession number :
- edsair.doi.dedup.....4f91549d23a7aa0243e0b04f61a4066b