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