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Research Output Details
| Nikolova, N and Toneva, D and Tsonev, Y and Burgess, B and Tenekedjiev, K, “Novel methods to construct empirical CDF for continuous random variables using censor data”, Proceedings of the 10th International Conference on Intelligent Systems (IS), 28-30 August 2020, Virtual Conference, Online (Varna, Bulgaria), pp. 61-68. ISBN 978-1-7281-5456-5 (2020) [Refereed Conference Paper] | |
| Data Type | Value |
|---|---|
| Type of Research | Applied Research |
| Research Division | Mathematical Sciences |
| Research Group | Numerical and computational mathematics |
| Research Field | Optimisation |
| Research Objective Division | Expanding Knowledge |
| Research Objective Group | Expanding knowledge |
| Research Objective Field | Expanding knowledge in engineering |
| Visit Item on eCite | http://ecite.utas.edu.au/141977 |
| Digital Object Identifier | doi:10.1109/IS48319.2020.9199954 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Number of Times Cited | 3 |