
Accession Number : AD0716956
Title : The Selection of Effective Attributes for Deciding Between Hypotheses Using Linear Discriminant Functions.
Descriptive Note : Technical rept.,
Corporate Author : STANFORD UNIV CALIF DEPT OF STATISTICS
Personal Author(s) : Chernoff,Herman
Report Date : 15 DEC 1970
Pagination or Media Count : 12
Abstract : Let X be a multidimensional random variable, whose components are called attributes, with mean mu sub i and covariance matrix Sigma sub i under H sub i, i=1, 2. The problem discussed is related to problems in regression theory. Some simple examples illustrate that if Sigma sub 1 is in some sense much smaller than Sigma sub 2, there is a premium on adjoining additional attributes for which the variance under H sub 1 is relatively small.
Descriptors : (*REGRESSION ANALYSIS, DECISION THEORY), MULTIVARIATE ANALYSIS, RANDOM VARIABLES, STATISTICAL FUNCTIONS, THEOREMS
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE