Accession Number : ADP007107

Title :   Analyzing of High Dimensional 0-1 Data Set, Boolean Factor Analysis,

Corporate Author : DELAWARE UNIV NEWARK DEPT OF MATHEMATICAL SCIENCES

Personal Author(s) : Rejto, Lidia

Report Date : 1992

Pagination or Media Count : 5

Abstract : Factor analysis is a frequently used statistical tool for representing a usually large number of observable variables with a smaller set of latent factors. In classical factor analysis, the observable variables are expressed as linear combinations of the factors. During this procedure neither the factors nor the scores are binary. Boolean factor analysis is a procedure for the representation of binary variables in terms of Boolean combinations of binary factors.

Descriptors :   *FACTOR ANALYSIS, *BOOLEAN ALGEBRA, NUMBERS, TOOLS, VARIABLES, BINARY ARITHMETIC.

Subject Categories : Theoretical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE