
Accession Number : ADP007108
Title : General Similarity Measures of Location Models,
Corporate Author : NORTH DAKOTA STATE UNIV FARGO
Personal Author(s) : Lu, RueyPyng
Report Date : 1992
Pagination or Media Count : 4
Abstract : The location models, which can be used in discriminant problems when the data contain both categorical and continuous variables, requires separate continuous variables means to be fitted for each possible pattern of categorical responses. Several forms of similarity measure are reviewed. The problem of estimating similarity when the continuous variables of location models are multivariate normal distributions with equal covariance matrices across the discrete states has previously been studied. In this work, the assumption of equal covariance matrices is relaxed. The explicit form of general similarity measure between two location models is derived assuming general multivariate normal distributions. Estimation of parameters in this similarity measure is discussed.
Descriptors : *MATHEMATICAL MODELS, *MULTIVARIATE ANALYSIS, *NORMAL DISTRIBUTION, ALGEBRA, COVARIANCE, MODELS, PARAMETERS, PATTERNS, RESPONSE, VARIABLES, MATRICES(MATHEMATICS).
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE