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Home
Vision & Mission
Members
Postgraduate Students
Projects
Research
Publications
Currently selected
Software
Conferences
Management
Contact us
back to DEPT homepage
All Site Content
Centre for Multi-dimensional Data Visualisation
Research
Page Content
Publications
2024
Gardner-Lubbe, S
. 2024. Bootstrapping Cluster Analysis Solutions with the R Package ClusBoot.
Austrian Journal of Statistics
, 53, 1 – 19. Doi: 10.17713/ajs.v53i3.1169.
Le Roux, N.J.
&
Gardner-Lubbe, S.
2024. A two-group canonical variate analysis biplot for an optimal display of both means and cases.
Advances in Data Analysis and Classification
, Doi: 10.1007/s11634-024-00593-7.
2023
Abotsi, R.E., Dube, F.S., Rehman, A.M., Claassen-Weitz, S., Xia, Y., Simms, V., Mwaikono, K.S.,
Gardner-Lubbe
, S., McHugh, G., Ngwira, L.G., Kwambana-Adams, B., Heyderman, R.S., Odland, J.O., Ferrand, R.A. and Nicol, M.P. 2023. Sputum bacterial load and bacterial composition correlate with lung function and are altered by long term azithromycin treatment in children with HIV-associated chronic lung disease.
Microbiome
, 11, 29. Doi: 10.1186/s40168-023-01460-x.
Alzahrani, A.,
Beh. E. J
. & Stojanovski, E. 2023. A visual examination of Selikoff’s “20-year rule” using correspondence analysis and the Cressie-Read family of divergence statistics. In Vaze, J., Chilcott, C., Hutley, L. & Cuddy, S. M. (eds) MODSIM2023,
25th International Congress on Modelling and Simulation.
Modelling and Simulation Society of Australia and New Zealand, July 2023, pp. 38 – 44. ISBN: 978-0-9872143-0-0.
Alzahrani, A.,
Beh, E. J
. & Stojanovski, E. 2023. Confidence regions for simple correspondence analysis using the Cressie-Read family of divergence statistics,
Electronic Journal of Applied Statistical Analysis
, 16 (2), 423 – 448.
Alzahrani, A. A.,
Beh, E. J
. & Stojanovski, E. 2023. Exploring the association between self-efficacy and future utility beliefs in mathematics: a practical tutorial on correspondence analysis,
PLoS One
, 18(3), e0282696 (14 pages). DOI: https://doi.org/10.1371/journal.pone.0282696.
Beh, E. J
.,
Lombardo, R.
& Clavel, J. G. (eds.). 2023.
Analysis of Categorical Data from Historical Perspectives: Essays in Honour of the Shizuhiko Nishisato
, Springer. https://link.springer.com/book/9789819953288
Beh, E. J.
, Tran, D. & Hudson, I. L. 2023. A generalization of the Aggregate Association Index (AAI): Incorporating a linear transformation of the cells of a 2x2 table,
Metrika
(in press).
Beh, E. J
. &
Lombardo, R
. 2023. Correspondence analysis using the Cressie-Read family of divergence statistics.
International Statistical Review
(in press). DOI: https://doi.org/10.1111/insr.12541
Beh, E. J.
,
Lombardo, R
. & Wang, T.-W. 2023. Power transformations and reciprocal averaging, In Analysis of Categorical Data from Historical Perspectives: Essays in Honour of Shizuhiko Nishisato (
Beh, E. J
.,
Lombardo, R
. & Clavel, J. G. eds),
Springer
, Singapore, 26 pages (in press)
Beh, E. J.
& Wang, T.-W. 2023. On the p-value for members of the Cressie-Read family of divergence statistics,
Austrian Journal of Statistics
, 52 (5), 1 – 15. DOI: https://doi.org/10.17713/ajs.v52i5.1607.
Guilbault, E., Renner, I.,
Beh, E. J.
and Mahony, M. 2023. A practical approach to making use of uncertain species presence-only data in ecology: reclassification, regularization methods and observer bias.
Ecological Informatics
, 77, 102155. DOI: https://doi.org/10.1016/j.ecoinf.2023.102155
Heunis, T., Chambers, N., Vanclooster, S., Bissell, S., Byars, A.W., Capal, J.K., Cukier, S., Davis, P., de Vries, M.C., De Waele, L., Flinn, J.,
Gardner-Lubbe, S.
, Gipson, T., Kingswood, J.C., Krueger, D.A., Kumm, A.J., Sahin, M., Schoeters, E., Smith, C., Srivastava, S., Takei, M., van Eeghen, A.M., Waltereit, R., Jansen, A.C. and de Vries, P.J. 2023. Development and Feasibility f the Self-Reported Quantified Tuberous Sclerosis Complex-Associated Neuropsuchiatric Disorders Checklist (TAND-SQ).
Pediatric Nerology
, 147, 101 – 123. Doi: 10.1016/j.pediatrneurol.2023.07.001.
Lombardo
, R.
, van de Velden, M. &
Beh, E. J
2023. Three-way correspondence analysis in R,
The R Journal
, 15/2, 237 – 262.
Nienkemper-Swanepoel, J., le Roux, N.J.
&
Gardner-Lubbe, S
. 2023. GPAbin: unifying visualizations of multiple imputations for missing values.
Communications in Statistics - Simulation and Computation
52(6): 2666-2685. DOI:
10.1080/03610918.
2021.1914089
(
GitHub repository
)
Nienkemper-Swanepoel, J., le Roux, N.J.
&
Gardner-Lubbe, S
. 2023. On subset multiple correspondence analysis for incomplete multivariate categorical data.
Communications in Statistics - Simulation and Computation
(in press). DOI:
10.1080/03610918.2023.2173779
(
GitHub repository
)
2022
Beh, E.J
. &
Lom
bardo, R
. 2022. Visualising departures from symmetry and Bowker's X^2 statistic,
Symmetry
, 14, 1103. DOI: https://doi.org/10.3390/sym14061103
Zafar, S., Cheema, S.A.,
Beh, E
.
J
.
& Hudson, I. L. 2022. Asymptotic characteristics of the non-iterative estimates of the linear-by-linear association parameter for ordinal log-linear models,
Computation
, 10(12), 206. DOI: https://doi.org/10.3390/computation10120206