Work

About the selection of the number of components in correspondence analysis

Year: 1993

Type: conference-paper

Abstract: Selecting the right number of axes in correspondence analysis is usually done by using empirical criteria such as :-detection of an inflexion in the diagram of eigenvalues-getting an arbitrary amount of the cumulated percentage of inertia We examine the application of a chi-square goodness of fit test between the data table and its reconstitution with k eigenvalues. This test which has been proposed by E.Malinvaud, then by E.Andersen and G.Saporta has a good behaviour for frequency tables but fails to apply to multiple correspondence analysis. This failure, however enlightens some properties of this test and of correspondence analysis.

Source: HAL

Authors: Saporta, Gilbert, Tambrea, Narcisa

Institution: Centre d'études et de recherche en informatique et communications

Language: English

Topic: Statistical Methods and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W33005619

FWCI:

Cites: 2

Cited by: 6

Related to: 10