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Mrs. N.A.M.R.Senaviratna

B.Sc. (Honors) Statistics (University of Sri Jayewardenepura), M.Sc. (Operational Research) (University of Moratuwa)

Senior Lecturer G II

Dept. of Mathematics
  • Room No.333, 3rd Floor, Science & Technology Building, Central Campus, Nawala, Nugegoda
  • +94112881443 Ext: 3403
  • nasen@ou.ac.lk

I have been working as a lecturer since 2011 in the Department of Mathematics of the Faculty of Natural Sciences. I
graduated from the University of Sri Jayewardenepura with First Class (Hons) in B.Sc. Special degree in Statistics and completed M.Sc. in Operational Research in the University of Moratuwa.

Time Series analysis, Data mining, Operational Research , Multivariate Statistics

  • Senior Lecturer                    Dept. of Mathematics, The Open University of Sri Lanka  2019 to present                 
  • Lecturer (Probationary)     Dept. of Mathematics, The Open University of Sri Lanka 01/2011 to 12/2018
  • Temporary Lecturer            Dept. of Statistics , University of Sri Jayewardenepura 09/2009 to 01/2011 
  • Temporary Instructor         Dept. of Statistics, University of Sri Jayewardenepura 08/2008 to 07/2009   

ADU3201/ADU3218 – Basic Statistics
ADU 5309 – Design & Analysis of Experiments
ADU5304 – Operational Research

Time Series analysis, Data mining, Operational Research , Multivariate Statistics

  • Senaviratna, N.A.M.R., & Cooray, T.M.J.A. (2020). Multicollinearity in Binary Logistic Regression Model, Theory and Practice of Mathematics and Computer Science.
  • Senaviratna, N.A.M.R., & Cooray, T.M.J.A. (2019, November), ‘Major factors affecting the severity of motor vehicle accidents in Sri Lanka’, 4th International Conference on Applied Research in Science,Technology & Knowledge, Rotterdam,Netherlands. 
  • Senaviratna, N.A.M.R., & Cooray, T.M.J.A. (2018, October), ‘Detecting Multicolinearity of Binary Logistic Regression Model’,Second International Conference on Multidisciplinary Research, Colombo.
  • Senaviratna, N.A.M.R., & Cooray, T.M.J.A. (2018, October), ‘Major factors affecting the severity of motorcycle accidents in Sri Lanka’, 3rd International Research Symposium on Pure and Applied Sciences, University of Kelaniya. 
  • Heenatigala,R.S., Senaviratna, N.A.M.R. & Jayasooriya, H.T.R., (2015 November), ‘A study to Assess the Status of Mosquito breeding in larval habitats in Rumassala hill in Galle district, Sri Lanka’, Proceedings of Annual Academic Sessions in The Open University of Sri Lanka.
  • Senaviratna, N.A.M.R., and Cooray, T.M.J.A. (2021), ‘Estimating the Causes of Motorcycle Accidents using Logistic Regression’, International Journal of Progressive Sciences and Technologies, 29(2), pp 499-511.
  • Senaviratna, N.A.M.R., and Cooray, T.M.J.A. (2020) ‘Statistical Analysis of Severity of Motor Vehicle Accidents in Sri Lanka’, Journal of Emerging Technologies and Innovative Research, 7(11), pp.481-488. 
  • Senaviratna, N.A.M.R., and Cooray, T.M.J.A. (2019) ‘Diagnosing Multicollinearity of Logistic Regression Model’, Asian Journal of Probability and Statistics, 5(2), pp.1-9.
  • Senaviratna, N.A.M.R., (2017, August), ‘Box-Jenkins Approach to Forecast Air Pollution at Fort Railway Station, Sri Lanka, ‘American International Journal of Research in Science, Technology, Engineering & Mathematics, 1(19), pp. 168-171.
  • Senaviratna, N.A.M.R.,  & Cooray, T.M.J.A. (2017, July), ‘Forecasting Gold Prices in Sri Lanka using Generalized Autoregressive Conditional Heteroskedasticity Approach’, International Research Journal of Natural and Applied Sciences, 4(7), pp. 99-110.
  • Senaviratna, N.A.M.R., (2016, November), ‘Forecasting Tea Auction prices in Sri Lanka: Box-Jenkins Modelling Approach’, Indian Journal of Applied Research (IJAR), Vol.6, Issue.11.
  • Senaviratna, N.A.M.R., (2013,July), ‘Application of Generalized Linear Model to the Minimization of Defectives in Sewing Process of Apparel Industry’, International Journal of Scientific and Research Publications (IJSRP), Vol. 3, no. 7.

 

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PO Box 21, The Open University of Sri Lanka, Nawala, Nugegoda.
Email: pio@ou.ac.lk
Phone: +94 11 288 1000