1-24 of 29 Books
Elements of dual scaling
Elements of dual scaling
By Shizuhiko Nishisato

Multiple Correspondence Analysis for the Social Sciences
By Johs Hjellbrekke
Correspondence Analysis in Practice
Correspondence Analysis in Practice
By Michael Greenacre

Bourdieu and Data Analysis
By Frédéric Lebaron,Michael Grenfell
Correspondence Analysis
Correspondence Analysis
By Eric J. Beh,Rosaria Lombardo
Datenscreening Zwischen Compliance-Aufgabe und Arbeitnehmerdatenschutz
Datenscreening Zwischen Compliance-Aufgabe und Arbeitnehmerdatenschutz
By Philip Fabinger

Correspondence Analysis in Practice
By Michael J. Greenacre

Correspondence Analysis in the Social Sciences
By Michael Greenacre,Jörg Blasius
Multiple correspondence analysis
Multiple correspondence analysis
By Brigitte Le Roux

Correspondence Analysis in Practice, Second Edition (Interdisciplinary Statistics)
By Michael Greenacre

Visualization and verbalization of data
By Jorg Blasius,Michael J. Greenacre
Grade dependence in bivariate mixed data. A uniform approach based on concentration curves
Grade dependence in bivariate mixed data. A uniform approach based on concentration curves
By Teresa Kowalczyk
Dual scaling in a nutshell
Dual scaling in a nutshell
By Shizuhiko Nishisato

Correspondence analysis handbook
By J.-P Benzécri

Eigenvalue techniques for qualitative data
By A. Z. Israëls
Mathematical aspects of multiple correspondence analysis for ordinal variables
Mathematical aspects of multiple correspondence analysis for ordinal variables
By Jan T. A. Koster

Multidimensional Nonlinear Descriptive Analysis
By Shizuhiko Nishisato
Archäologie und Korrespondenzanalyse
Archäologie und Korrespondenzanalyse
By Zimmermann, Andreas

Multiple correspondence analysis and related methods
By Michael J. Greenacre,Jörg Blasius

Theory and applications of correspondence analysis
By Michael J. Greenacre

The application of fuzzy coding and horseshoes in multiple correspondence analysis
By Jan L. A. van Rijckevorsel

Correspondence Analysis and Data Coding with Java and R (Chapman & Hall Computer Science and Data Analysis)
By Fionn Murtagh