Shenal Dedduwakumara

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. 

  • 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.
    DOI Scopus2 WoS1
    2021 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.
    DOI
    2020 Dedduwakumara, D. (2020). Contributions to Estimation and Modeling Using Quantiles. Bulletin of the Australian Mathematical Society, 103(3), 523-524.
    DOI
    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.
    DOI
    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.
    DOI Scopus3 WoS1
    - Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (n.d.). Insights and inference for the proportion below the relative poverty
    line.

  • 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.
    DOI Scopus1 WoS1

Statistical Practice I

Statistics and Numerical Methods II

Advanced Mathematical Perspectives II

Data Taming 

Data Literacy 

Probability and Statistics

  • Committee Memberships
    Date Role Committee Institution Country
    2021 - ongoing Member Outreach Committee School of Mathematical Sciences Australia
Connect With Me
External Profiles