26 septembre 2023
Brigitte Le Roux et al., « A generalized Multiple Correspondence Analysis: Bi-weighted Multiple Correspondence Analysis. », Archive ouverte de Sciences Po (SPIRE), ID : 10670/1.gt9dpv
Bi_weighted Multiple Correspondence Analysis.This paper presents a general method for analyzing a table Individuals X Categorical variables with a weighting on individuals and a weighting on categorical variables.We give the properties and the matrix formulas for MCA as well as for specific MCA and Class-specific Analysis.