Accession Number : AD0488507

Title :   NONPARAMETRIC CLASSIFICATION ERROR PROBABILITIES FOR TWO DIMENSIONAL EXPONENTIAL POPULATIONS.

Descriptive Note : Master's thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Rydzewski, James C.

Report Date : MAY 1966

Pagination or Media Count : 46

Abstract : An approach to the classification problem is one that is dependent of the amount of information assumed to be known about the distributions of the populations. It is assumed in this thesis that nothing is known about the distributions for a two population case. The probability of misclassification of an individual Z is presented in general. The approach is carried further to develop explicit forms of the error probability when the two populations are bivariate exponential. (Author)

Descriptors :   (*STATISTICAL TESTS, ERRORS), (*STATISTICAL DISTRIBUTIONS, PROBABILITY), (*POPULATION(MATHEMATICS), STATISTICAL DISTRIBUTIONS), MULTIVARIATE ANALYSIS, COMPUTER PROGRAMMING, CLASSIFICATION, OPERATIONS RESEARCH.

Subject Categories : Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE