Statistics of Individual Tests for Market Graph Identification in Market Network

DOI

10.2991/ahcs.k.191206.009How to use a DOI?

Keywords

random variables network, network structure, multiple decision statistical procedure, individual test, robustness of significance level, robustness of power function

Abstract

The concept of random variables network used to model the complex system of random nature is discussed. The problem of threshold graph identification to network analysis of the complex system is considered as multiple decision statistical procedure. The properties of robustness of different tests for testing individual hypotheses for threshold graph identification are investigated by simulations.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Petr Koldanov
PY  - 2019
DA  - 2019/12/12
TI  - Statistics of Individual Tests for Market Graph Identification in Market Network
BT  - Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)
PB  - Atlantis Press
SP  - 50
EP  - 55
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahcs.k.191206.009
DO  - 10.2991/ahcs.k.191206.009
ID  - Koldanov2019
ER  -