
Dr Shenal Dedduwakumara
Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
My research developments aim to contribute to the field of quantile-based methods in modelling and estimation. These new methods, have applications in fields such as economics and the health sciences, and also address significant issues related to the wider scientific research community. I have recently completed my PhD in Statistics with several first-author publications in this field of Robust Statistics.
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Education
Date Institution name Country Title 2016 - 2020 Latrobe University Australia PhD 2010 - 2015 University of Colombo Sri Lanka Bachelors of Science (BSc) in Statistics and Mathematics (Honours) -
Research Interests
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Journals
Year Citation 2021 Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (2021). An efficient estimator of the parameters of the generalized lambda distribution. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 91(1), 197-215.
Scopus2 WoS12021 Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (2021). Some confidence intervals and insights for the proportion below the relative poverty line. SN Business & Economics, 1(10), 22 pages.
2020 Dedduwakumara, D. (2020). Contributions to Estimation and Modeling Using Quantiles. Bulletin of the Australian Mathematical Society, 103(3), 523-524.
2019 Dedduwakumara, D. S., Prendergast, L. A., & Robert, G. S. (2019). A simple and efficient method for finding the closest generalized lambda distribution to a specific model. Cogent Mathematics & Statistics, 6(1), 1-11.
2018 Dedduwakumara, D. S., & Prendergast, L. A. (2018). Confidence intervals for quantiles from histograms and other grouped data. Communications in Statistics: Simulation and Computation, 49(6), 1546-1559.
Scopus3 WoS1- Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (n.d.). Insights and inference for the proportion below the relative poverty
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Conference Papers
Year Citation 2019 Dedduwakumara, D. S., & Prendergast, L. A. (2019). Interval Estimators for Inequality Measures Using Grouped Data. In Communications in Computer and Information Science Vol. 1150 CCIS (pp. 238-252). Singapore: Springer.
Scopus1 WoS1
Statistical Practice I Statistics and Numerical Methods II Advanced Mathematical Perspectives II Data Taming Data Literacy Probability and Statistics |
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Committee Memberships
Date Role Committee Institution Country 2021 - ongoing Member Outreach Committee School of Mathematical Sciences Australia
Connect With Me
External Profiles