Accession Number : ADA309554

Title :   Derivation of Recursive Update Equations for Joint Representation Mixture Models.

Descriptive Note : Technical rept.,

Corporate Author : NAVAL SURFACE WARFARE CENTER DAHLGREN DIV VA

Personal Author(s) : Rogers, George W. ; Lorey, Richard A.

PDF Url : ADA309554

Report Date : SEP 1995

Pagination or Media Count : 31

Abstract : The joint representation mixture model is defined, likelihood functions corresponding to different levels of data categorization with respect to class are presented along with the iterative expectation-maximization (E-M) equations, and the resultant recursive E-M equations are derived.

Descriptors :   *MATHEMATICAL MODELS, *MAXIMUM LIKELIHOOD ESTIMATION, *PROBABILITY DENSITY FUNCTIONS, DATA BASES, ALGORITHMS, PARAMETRIC ANALYSIS, MULTIVARIATE ANALYSIS, STATISTICAL DATA, APPROXIMATION(MATHEMATICS), RECURSIVE FUNCTIONS, NORMAL DISTRIBUTION.

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE