Object

Title: Using Rank Tests and Threshold Copulas for Classification ofMultidimensional Data Sets

Co-author(s) :

Safaryan Irina ; Harutyunyan Narine

Abstract:

This report deals with classification of multidimensional data sets into statistically homogeneous groups and emphasizes the copula representation of the dependence between the components of a random vector. We present a nonparametric algorithm based on rank score test which allows reducing the investigation of changes in the joint distribution of a random vector components to investigation of some one-dimentional conditional distributions. Some applied examples are presented.

Identifier:

oai:noad.sci.am:135990

Language:

English

URL:


Additional Information:

eghishe@sci.am ; irinasafaryan@yandex.ru ; narineharutyunyan57@gmail.com

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Year:

2015

Time period:

September 28 - October 2

Conference title:

10 th International Conference on Computer Science and Information Technologies CSIT 2015

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 28, 2020

Number of object content hits:

3

All available object's versions:

https://noad.sci.am/publication/149603

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

This page uses 'cookies'. More information