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2025

  • Beh, E. J., Zafar, S. & Hudson, I. L. 2025. Least-squares estimators of the linear-by-linear parameter from an ordinal log-linear model. Australian and New Zealand Journal of Statistics, 67 (2), 137 – 156. DOI: https://doi.org/10.1111/anzs.70000
  • Beh, E. J. & Lombardo, R. 2025. A generalisation of Emerson’s recurrence formulae and the Gray-Williams index. Metrika (in press) (18 pages) DOI: https://doi.org/10.1007/s00184-024-00981-1
  • Beh, E. J. & Lombardo, R. 2025. A general similarity measure for simple correspondence analysis. Communications in Statistics – Theory and Methods, 54 (13), 4062 – 4082. DOI: https://doi.org/10.1080/03610926.2024.2413842
  • Nienkemper-Swanepoel, J. 2025. Biplot visualisations of the differences between multiple imputation techniques for simulated categorical data. Discover Data 3, 30. DOI: https://doi.org/10.1007/s44248-025-00063-1
  • Takane, Y., Beh, E. J. & Lombardo, R. 2025. A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey post-hoc tests for contingency tables. Computational Statistics, 40 (3), 1423 – 1446. DOI: https://doi.org/10.1007/s00180-024-01537-7
  • Wang, T.-W., Beh, E. J., Lombardo, R. & Renner, I. W. 2025. Profile transformations for reciprocal averaging and singular value decomposition. Computational Statistics, 40 (3), 1217 - 1251. DOI: https://doi.org/10.1007/s00180-024-01517-x?


2024

  • Alhuzali, T., Beh, E. J. & Stojanovski, E. 2024. Using multi-way correspondence analysis to examine the Nobel prize data in STEM related disciplines. Communications in Statistics – Case Studies and Data Analysis, 10 (2), 143 – 161. DOI: https://doi.org/10.1080/23737484.2024.2394421
  • Beh, E. J. & Lombardo, R. 2024. Correspondence analysis for assessing departures from perfect symmetry using the Cressie-Read family of divergence statistics. Symmetry, 16 (7), 830 (24 pages). DOI: https://doi.org/10.3390/sym16070830 ?
  • Beh, E. J. & Lombardo, R. (2024). Correspondence analysis using the Cressie-Read family of divergence statistics. International Statistical Review, 92 (1), 17 – 42. DOI: https://doi.org/10.1111/insr.12541?
  • Beh, E. J., Tran, D. & Hudson, I. L. (2024). A generalisation of the aggregate association index (AAI): Incorporating a linear transformation of the cells of a 2x2 table. Metrika, 87 (5), 499 – 531. DOI: https://doi.org/10.1007/s00184-023-00919-z Supplementary material: https://static-content.springer.com/esm/art%3A10.1007%2Fs00184-023-00919-z/MediaObjects/184_2023_919_MOESM1_ESM.pdf
  • Cheema, S., Beh, E. J. & Hudson, I. L. 2024. How informative is the marginal information of a 2x2 table for assessing association? The aggregate informative index. Mathematics, 12, 3719 (15 pages). DOI: https://doi.org/10.3390/math12233719
  • 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. 
  • Kamalja, K. K., Khangar, N. V. & Beh, E. J. 2024. A new algorithm for the partition of Pearson's chi-squared statistic for multi-way contingency tables. Journal of the Indian Society for Probability and Statistics, 25 (1), 121 – 149.DOI: https://doi.org/10.1007/s41096-023-00173-6 ?
  • 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.
  • Lombardo, R., Beh, E. J., Prattichizzo, F., Lucisano, G., Nicolucci, A., Eliasson, B., La Grotta, R., Pelligrini, V. & Ceriello, A. 2024. Testing and visualization of associations in three-way contingency tables: A study on gender gap in patients with type I diabetes and cardiovascular disease. Mathematics, 12 (14), 2186 (13 pages). DOI: https://doi.org/10.3390/math12142186?
  • Nienkemper-Swanepoel, J., le Roux, N.J. & Gardner-Lubbe, S. 2024. On subset multiple correspondence analysis for incomplete multivariate categorical data. Communications in Statistics - Simulation and Computation 53(11): 5229-5241. DOI: 10.1080/03610918.2023.2173779 (?GitHub repository)
  • van der Westhuizen, S., Heuvelink, G.B.M., Gardner-Lubbe, S. & Clarke, C.E. 2024. Biplots for understanding machine learning predictions in digital soil mapping. Ecological Informatics, 84: 102892. DOI: /10.1016/j.ecoinf.2024.102892

?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)

2022

  • ?Beh, E.J. & Lombardo, 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?