Graph-based visualization of stochastic dominance in statistical comparisons

Gurdal Ertek; Gul Tokdemir; Mohamad Mustafa Hammoudi

doi:10.1109/AICCSA47632.2019.9035354

Graph-based visualization of stochastic dominance in statistical comparisons

Gurdal Ertek, Gul Tokdemir, Mohamad Mustafa Hammoudi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a graph visualization scheme and methodology is proposed for representing, understanding, and interpreting the statistical comparison of means and the resulting stochastic dominance. The practicality and applicability of the visualization scheme and the methodology is illustrated through a case study, with data coming from higher education institutes in the United States of America (U.S.A.). The objective of the research is to make statistical results more accessible and readable, enabling the visual derivation of actionable insights.

Original language	English
Title of host publication	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728150529
DOIs	https://doi.org/10.1109/AICCSA47632.2019.9035354
Publication status	Published - Nov 2019
Externally published	Yes
Event	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 - Abu Dhabi, United Arab Emirates Duration: Nov 3 2019 → Nov 7 2019

Publication series

Name	Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume	2019-November
ISSN (Print)	2161-5322
ISSN (Electronic)	2161-5330

Conference

Conference	16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	11/3/19 → 11/7/19

Keywords

Graph drawing
Graph visualization
Higher education
Hypothesis testing
Stochastic dominance

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/AICCSA47632.2019.9035354

Cite this

Ertek, G., Tokdemir, G., & Hammoudi, M. M. (2019). Graph-based visualization of stochastic dominance in statistical comparisons. In 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 [9035354] (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/AICCSA47632.2019.9035354

Graph-based visualization of stochastic dominance in statistical comparisons. / Ertek, Gurdal; Tokdemir, Gul; Hammoudi, Mohamad Mustafa.
16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019. IEEE Computer Society, 2019. 9035354 (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2019-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ertek, G, Tokdemir, G & Hammoudi, MM 2019, Graph-based visualization of stochastic dominance in statistical comparisons. in 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019., 9035354, Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, vol. 2019-November, IEEE Computer Society, 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019, Abu Dhabi, United Arab Emirates, 11/3/19. https://doi.org/10.1109/AICCSA47632.2019.9035354

Ertek G, Tokdemir G, Hammoudi MM. Graph-based visualization of stochastic dominance in statistical comparisons. In 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019. IEEE Computer Society. 2019. 9035354. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA). doi: 10.1109/AICCSA47632.2019.9035354

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Graph-based visualization of stochastic dominance in statistical comparisons

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this