Accession Number:

ADA030698

Title:

Discrimination, Allocatory and Separatory, Linear Aspects

Descriptive Note:

Technical rept.

Corporate Author:

STANFORD UNIV CA DEPT OF STATISTICS

Personal Author(s):

Report Date:

1976-09-09

Pagination or Media Count:

39.0

Abstract:

This paper delineates two distinct purposes of discriminatory analyses-- allocation and separation--and examines the linear aspects involved. After a review of multivariate normality and a discussion of the extent to which linearity is optimal, suggestions are made as to the actual use of linear discriminants. Then, dropping distributional assumptions, we focus on the separation of populations via linear functions. We also discuss the application of sample reuse procedures to linear discriminants.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE