Accession Number:

ADA160305

Title:

Exponential Bound for Error Probability in NN-Discrimination.

Descriptive Note:

Technical rept.,

Corporate Author:

PITTSBURGH UNIV PA CENTER FOR MULTIVARIATE ANALYSIS

Personal Author(s):

Report Date:

1985-04-01

Pagination or Media Count:

23.0

Abstract:

Let theta,X be a 1,2,...,s x R to the d power-valued random vector and theta sub 1, x sub 1,...,theta sub n, x sub n be iid. samples drawn from theta,X. The so-called discrimination problem is to find a function of X, usually depending upon theta sub n, x sub n,...,theta sub, x sub n, which is used to predict the value of theta. One of the most frequently used approaches is the nearest neighbor discrimination rule. Keywords populationmathematics and random variables.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE