# 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):

# Report Date:

## 1970-12-15

# Pagination or Media Count:

## 12.0

# 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, i1, 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:

# Subject Categories:

- Statistics and Probability