Using multi-way correspondence analysis to examine the Nobel Prize data in STEM related disciplines-Reference-Cited by-同舟云学术

Using multi-way correspondence analysis to examine the Nobel Prize data in STEM related disciplines

Published:2024-09-13 Issue: Volume: Page:1-20
ISSN:2373-7484
Container-title:Communications in Statistics: Case Studies, Data Analysis and Applications
language:en
Short-container-title:Communications in Statistics: Case Studies, Data Analysis and Applications

Author:

Alhuzali Turki¹²,Beh Eric J.³⁴,Stojanovski Elizabeth¹

Affiliation:

1. School of Information and Physical Sciences, University of Newcastle, Callaghan, Australia

2. Mathematics Department, Khurmah University College, Taif University, Taif, KSA

3. National Institute for Applied Statistics Research Australia (NIASRA), University of Wollongong, Wollongong, Australia

4. Centre for Multi-Dimensional Data Visualisation (MuViSU), Stellenbosch University, Stellenbosch, South Africa

Funder

Deanship of Graduate Studies and Scientific Research, Taif University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23737484.2024.2394421

Reference60 articles.

1. Alhuzali, T., E. J. Beh, and E. Stojanovski. 2021. “Multi-Way Correspondence Analysis Approach to Examine Nobel Prize Data from 1901 to 2018.” In 24th International Congress on Modelling and Simulation, edited by R. W. Vervoort, A. A. Voinov, J. P. Evans, and L. Marshall, 1–7. Modelling and Simulation Society of Australia and New Zealand, December 2021. https://doi.org/10.36334/modsim.2021.A1.alhuzali.

2. Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018

3. Simple Correspondence Analysis: A Bibliographic Review

4. A GENEALOGY OF CORRESPONDENCE ANALYSIS

5. Correspondence Analysis