Tying up the loose ends in simple, multiple, joint correspondence analysis
DOI10.1007/978-3-7908-1709-6_13zbMath1437.62022OpenAlexW1827990220MaRDI QIDQ3298600
Publication date: 15 July 2020
Published in: Compstat 2006 - Proceedings in Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-7908-1709-6_13
correspondence analysismultiple correspondence analysismultiple factor analysistotal inertiainternational social survey program
Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to social sciences (62P25)
Related Items (1)
Uses Software
Cites Work
- Biplots of Compositional Data
- Canonical Analysis of Contingency Tables by Maximum Likelihood
- Correspondence analysis of multivariate categorical data by weighted least-squares
- Minimum Covering Ellipses
- Goodness of fit of biplots and correspondence analysis
- Oblique Promax Rotation Applied to the Solutions in Multiple Correspondence Analysis
- The biplot graphic display of matrices with application to principal component analysis
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Tying up the loose ends in simple, multiple, joint correspondence analysis