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Research in the Department carried out by staff, special degree students and postgraduate students cover a wide range of topics relevant to the field of Statistics.

PhD /M.Phill. /M.Sc. Research :


Name of the Supervisor Name of the Student Research Topic Year Degree
B.M.S.G Banneheka, C. Abeysena. K.D.V.F. Siriwardana Statistical Analysis on age at natural menopause of women in Sri Lanka 2011 M.Phill.
B.M.S.G Banneheka, Keminda Herath M. P. Dhanushika Statistical Process Control (SPC) in Quality Assurance of Crepe Rubber Industry in Sri Lanka 2012 M.Phill.
C. D. Tilakaratne, R. S. Lokupitiya, Liwan Liyanage H A Pathberiya Forecasting the EUR/USD Exchange Rate Exploring Dynamic Impacts from News Based on Economic Indicators. 2013 M.Phill.
R. S. Lokupitiya T. S. Talagala Wavelet Analysis and Distributed Lag Nonlinear Modeling Approaches to Identify Dengue Dynamics and Climate Variability in Sri Lanka 2013 M.Sc.
R. S. Lokupitiya, R. G. M. Meegama, E. Y. K. Lokupitiya K. M. P. Perera Estimation of Carbon Fluxes for the South Asian Region using Maximum Likelihood Ensemble Filter (MLEF) 2014 PhD

 


Research Publications:


  • Banneheke B. M. S. G.

           Journal Articles:

  1. Hasini Banneheke, Sarath Paranavitane, Vathsala Jayasuriya and Sarath Banneheka. Perceived Risk of Dengue in Ones Living Environment as a Determinant of Behavior Change Through Social Mobilization and Communication: Evidence from a High Risk area in Sri Lanka. Journal of Arthropod-Borne Diseases. To appear.
  2. Sarath Banneheka and Ilya Bystrov. Are Economic Sanctions Growth Killers? STUDIA UNIVERSITATIS PETRU MAIOR SERIES OECONOMICA, 2014, Volume 1/2014, pp. 1-10.
  3. B.M.S.G. Banneheka, M.P. Dhanushika, Wasana Wijesuriya and Keminda Herath. Alinear programming approach to fitting an upper quadratic boundary line to natural rubber data. Journal of National Science Foundation Sri Lanka (2013). Vol 41 (1):13- 20
  4. H.A.C.K. Hettiarachchi and B.M.S.G. BannehekaTime series regression and artificial neural network approaches for forecasting unit price of tea at Colombo auction. Journal of National Science Foundation Sri Lanka (2013). Vol 41 (1):35-40
  5. H.P. Thanuja Nilanthi Silva and B.M. Sarath Gamini BannehekaFactors associated with mathematics results at G.C.E. (O/L) Examination. Vidyodaya Journal of Humanities and Social Sciences (2011). Vol 3, pp 23-43
  6. Banneheka B.M.S.G. Confidence intervals for the median of a gamma distribution. Vidyodaya Journal of Science (2010). Vol 15, pp 37-43
  7. Banneheka B.M.S.G. and Ekanayake G.E.M.U.P.D. A new point estimator for the median of gamma distribution. Vidyodaya Journal of Science (2009). Vol 14., pp 95-103
  8. Paramjit S. Gill, Sarath G. Banneheka, Tim B. Swartz. Tests concerning equicorrelation matrices with grouped normal data. Communications in Statistics- Theory and Methods 2005,34: 857-873
  9. Banneheka, Sarath G., Richard D. Routledge and Carl J. Schwarz. Stratified two- sample tag-recovery census of closed populations. 1997. Biometrics 53(4):1212-1224.
  10. Banneheka, S., Routledge, R. D., and Guthrie, I. Estimation of in-river fish passage using a combination of transect and stationary hydroacoustic sampling. 1995. Canadian J. Fish Aquat. Sci. 52: 335-343.

         Conference Proceedings:

  1. K.D.V.F. Siriwardana, B.M.S.G. Banneheka, C. Abeysena. Factors Associated with the Age at Natural Menopause of Women in Sri Lanka. Proceedings of the International Statistics Conference Sri Lanka (abstracts) 2014. pg 218.
  2. W.J.L.A. Damayanthi, B.M.S.G. Banneheka. Statistical Model For Body Fat Assessment Using Anthropometric Indices, Proceedings of the International Statistics Conference Sri Lanka (abstracts) 2014. pg 239.
  3. V. N. C. Vidanage, S. Weerakoon, B. M. S. G. Banneheka.Analysis of university students academic performance according to the gender and z-scores at the A/L. Proceedings of SLAAS annual sessions, 2012.
  4. Banneheka B M S G, Dhanushika M P, Wasana Wijesuriya and Keminda Herath. A novel method to t boundary line model for evaluating maximum response. Proceedings of the International Statistics Conference 2011 (abstracts). pg. 88.
  5. H.A.C.K Hettiarachchi and B.M.S.G. BannehekaForecasting unit price of tea at colombo acution center using time series regression and artificial neural network approches. Proceedings of the International Statistics Conference 2011 (abstracts). pg 93.
  6. Kumbalatara K.A.C.D and Banneheka B.M.S.GA combined test for the median. Proceedings of 66th SLAAS annual sessions, Sri Lanka, 2010 (abstracts). pg. 90.
  7. Perera K.M.P. and Banneheka B.M.S.G. Time series forecasting models for air temperature at Katunayake. Proceedings of 64th annual sessions, SLAAS, Sri Lanka, 2008.

  • Dias P.

         Journal articles:

  1. Pathberiya H. A., and Dias, P. Modelling electricity sales in Sri Lanka and Colombo city using different statistical methods. Journal of the National Science Foundation of Sri Lanka, 2013, Vol. 41, No. 1, pp. 41-51.
  2. De Silva VA, Senanayake SM, Hanwella R , and Dias, P. From pesticides to medicinal drugs: time series analyses of methods of self-harm in Sri Lanka. Bull. World Health Organ. 2012. 90(1): pp.40-66.
  3. Ranil D. De silva, Rukmal Silva, Chandu De Silva, W. S. L. Gunasekera, R. W. Jayesekera and Dias, P. Comparison of the configuration of the posterior bifurcation of the posterior communicating artery between fetal and adult brains: A study of Sri Lankan Population, Annals of Indian Academy of Neurology, 2010, Vol. 13, Issue 3.

         Conference proceedings:

  1. Pathberiya H. A. and Dias P., Modeling Electricity Consumption in Sri Lanka and in Colombo: A Comparison of Approaches. Proceedings of the International Statistics Conference. 2011 (abstracts). pp. 102. Institute of Applied Statistics, Sri Lanka.
  2. K.D.V.F. Siriwardena and Dias, P. Statistical Model for Early Warning of Floods of Kalu Ganga below Ellagawa,, Proceedings of the International Statistical Conference, 2009, Applied Statistics Association of Sri Lanka.
  3. Dias, P. Life Skills Assessment as a Teaching Tool to improve Cognitive and Employability Skill. Proceedings of the SDC-SLAIHEE March Conference on Improving higher Education Effectiveness in Sri Lanka. 2007. Staff Development Centre, University of Colombo.
  4. Dias, P. Facilitating deep learning by improving study skills of undergraduates, Proceedings of the SDC-SLAIHEE Conference on Improving Higher education Effectiveness in Sri Lanka. 2006. Staff Development Centre, University of Colombo.
  5. Dias, P. Achieving higher cognitive skills through student-centred learning in teaching data analysis to undergraduates. Proceedings of the SDC-SLAIHEE conference on Improving Higher Education Effectiveness in Sri Lanka. 2005. Staff Development Centre, University of Colombo.
  6. Samanthi, W.G., Dias, P Liyanage, M. L., and Watugala, G. K.Mathematical models for rainfall-runoff relationships. Proceedings of the annual sessions-55. 1999. Sri Lanka Association for the Advancement of Science.
  7. Geeganage, S. D. L., Dias, P. and Weerakoon, S. Estimating parameters of a mixture of two exponential distributions. Proceedings of the first annual research sessions. 1995. Faculty of Graduate Studies, University of Sri Jayewardenepura.   

  • Lokupitiya R. S.

         Journal articles:

  1. Pathmeswarana, C., Lokupitiya, E., Waidyarathne K. P., and Lokupitiya R. S., “Impact of extreme weather events on coconut productivity in three climatic zones of Sri Lanka”, European Journal of Agronomy, 96, 47–53, 2018
  2. Talagala, T and Lokupitiya R., “Wavelet analysis of dengue transmission pattern in Sri Lanka”, International Journal of Mosquito Research, 2(4): 13-18, 2015
  3.  Jayawardhane, J., Perera, P., Lokupitiya, R., Amarasekara, and H., Ruwanpathirana, “The effect of quality attributes in determination of price for plantation-grown Teak (Tectona grandis) logs in Sri Lanka”, Annals of Forest Research, DOI:10.15287/afr.2015.441, 2015
  4. Niroshika, U.A.A., Meegama, R.G.N, Lokupitiya, R.S., and Kannangara, D.K.S., “ Active contours with prior corner detection to extract discontinuous boundaries of anatomical structures in X-ray images” , IET Image Process., 9(3), 202-210, doi: 10.1049/iet-ipr.2014.0106, 2015.
  5. Parazoo, N. C., Denning, A. S., Kawa, S. R., Pawson, S., and Lokupitiya, R., “CO2 flux estimation errors associated with moist atmospheric processes”, Atmos. Chem. Phys., 12, 6405 6416, doi:10.5194/acp-12-6405-2012, 2012.
  6. Saito, R., S. Houweling, P. K. Patra, D. Belikov, R. Lokupitiya, Y. Niwa, F. Chevallier, T. Saeki, and S. Maksyuto. “ TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2 climatology”, J. Geophys. Res., 116, D21120, doi:10.1029/2011JD016033,  2011.
  7. Lokupitiya R. S., D. Zupanski, A. S. Denning, K. R. Gurney, R. Kawa, and M. Zupanski,”Estimation of global CO2 fluxes at regional scale using the maximum likelihood ensemble filter”, Journal of Geophysical Research, 113, D20110, doi:10.1029/2007JD009679, 2008.
  8. Parazoo N. C., Denning A. S., Kawa S. R., Corbin K. D., Lokupitiya R. S., and Baker I. T., “Mechanisms for synoptic variations of atmospheric CO2 in North America, South America and Europe”, Atmospheric Chemistry and Physics, 8, 7239-7254, 2008.
  9. Patra P.K., R. M. Law, W. Peters, C. Rodenbeck, M. Takigawa, C. Aulagnier, I . Baker, D. J. Bergmann, P. Bousquet, J. Brandt, L .Bruhwiler, P. J. Cameron-Smith, J. H. Christensen, F. Delage, A. S. Denning, S. Fan, C. Geels, S. Houweling, R. Imasu, U. Karstens, S. R. Kawa, J. Kleist, M.C. Krol, S. –J. Lin, R. Lokupitiya, T. Maki, S. Maksyutov, Y. Niwa, R. Onishi, N. Parazoo, G. Pieterse, L. Rivier, M. Satoh, S. Serrar, S. Taguchi, R. Vautard, A. T. Vermeulen, and Z. Zhu, “TransCom model simulations of hourly atmospheric CO2: Analysis of synoptic scale variations for the period 2002-2003”, Global Biogeochemical Cycles, 22, GB4019, doi:10.1029/2007GB003081, 2008.
  10. Law, R. M., W. Peters, C. Rodenbeck, C. Aulagnier, I . Baker, D. J. Bergmann, P. Bousquet, J. Brandt, L .Bruhwiler, P. J. Cameron-Smith, J. H. Christensen, F. Delage, A. S. Denning,Fan, C. Geels, S. Houweling, R. Imasu, U. Karstens, S. R. Kawa, J. Kleist, M.C. Krol, S. –J. Lin, R. Lokupitiya, T. Maki, S. Maksyutov, Y. Niwa, R. Onishi, N. Parazoo, P. K. Patra, G. Pieterse, L. Rivier, M. Satoh, S. Serrar, S. Taguchi, M. Takigawa, R. Vautard, A. T. Vermeulen, and Z. Zhu, “TransCom model simulations of hourly atmospheric CO2: Experimental overview and diurnal cycle results for 2002”, Global Biogeochemical Cycles, 22, GB3009, doi: 10.1029/2007GB003050, 2008.
  11. Lokupitiya E., F. J. Breidt, R. Lokupitiya, S. Williams, and K. Paustian, “Deriving comprehensive county-level crop yield and area data for U.S. cropland”, Agronomy Journal, 99(3), 673-681, 2007.  
  12. Lokupitiya R. S., E. Lokupitiya, and K. Paustian, “Comparison of missing value imputation methods for crop yield data”, Environmetrics, 17, 339-349, 2006.
  13. Lokupitiya R. S., L. E. Borgman, and R. Anderson_Sprecher, “Simulation of storm occurrences using simulated annealing”, Journal of Climate, 18, 4394-4403, 2005.           

  • Jayasinghe C.L.

         Journal articles:

  1. Jayasinghe, C.L., Zeephongsekul, P. 2020, Mortality modelling at advanced ages using a nonparametric approach, International Journal of Mathematics and Statistics, accepted to be published in 20(1).
  2. Jayaweera, N., Rodrigo, S., Nadaraja, J., Rajapaksha, U. and Jayasinghe, C., Green space: A Luxury or a Necessity? Green Spaces in Condominium Sites in Sri Lanka. Cities People Places: An International Journal on Urban Environments, 3(1), pp.49–65.
  3. Jayaweera, N., Jayasinghe, C.L., Weerasinghe, S.N. 2018, Local factors affecting the spatial diffusion of residential photovoltaic adoption in Sri Lanka, Energy Policy, Volume 119, 2018, Pages 59-67,
  4. Nagaraju, V., Fiondella, L., Zeephongsekul, P., Jayasinghe, C.L., Wandji, T. 2017, Performance Optimized Expectation Conditional Maximization Algorithms for Nonhomogeneous Poisson Process Software Reliability Models, in IEEE Transactions in Reliability, vol. 66, no. 3, pp. 722-734.
  5. Jayasinghe, C.L., Zeephongsekul, P., 2017. Nonparametric hypothesis tests for comparing reliability functions, Communications in Statistics: Theory and Methods, 46 (8), 3698-3717.
  6. Zeephongsekul, P., Jayasinghe, C.L., Fiondella, L., Nagaraju, V. 2016, Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm, in IEEE Transactions in Reliability, vol. 65, no. 3, pp. 1571-1583.
  7. Jayasinghe, C.L., Zeephongsekul, P., 2013. Local polynomial fitting of the mean residual life function, IEEE Transactions in Reliability, volume 62, issue 2, pp. 317-328.
  8. Jayasinghe, C.L., Zeephongsekul, P., 2013. Nonparametric smooth estimation of expected inactivity time function, Journal of Statistical Planning and Inference, volume 143, issue 5, pp. 911–928.
  9. Jayasinghe, C.L., Zeephongsekul, P., 2012. On nonparametric smooth estimation of reversed hazard rate function, Statistical Methodology, volume 9, issue 3, pp. 364–380.
  10. Jayasinghe, C.L., Zeephongsekul, P., 2011 Nonparametric Estimation of the Reversed Hazard Rate Function for Uncensored and Censored Data, International Journal of Reliability, Quality and Safety Engineering, volume 18, issue 5, pp. 417–429.

 

        Conference proceedings:

  1. Jayasinghe, C.L., Zeephongsekul, P., 2012. Distribution-free estimation of reliability functions, in: Proceedings of the 18th ISSAT International Conference on Reliability and Quality in Design, International Society of Science and Applied Technologies, Boston, U.S.A, pp. 263–267.
  2. Jayasinghe, C.L., Zeephongsekul, P., 2011. An empirical estimator for reversed hazard rate function, in: Proceedings of the 17th ISSAT International Conference on Reliability and Quality in Design, International Society of Science and Applied Technologies, Vancouver, Canada, pp. 349–353.
  3. Dharmasena, S.L., Zeephongsekul, P., Jayasinghe, C.L., 2011. Software reliability growth models based on local polynomial modeling with kernel smoothing, in: Proceedings of the 22nd IEEE International Symposium on Software Reliability Engineering, Kyoto, Japan, pp. 220–229.
  4. Jayasinghe, C.L., Zeephongsekul, P., 2010. Bandwidth selection for estimating the mean residual life function, in: Proceedings of the 16th ISSAT International Conference on Reliability and Quality in Design, International Society of Science and Applied Technologies, Washington D.C., U.S.A.. pp. 338–342.

  • Silva R.M.

         Journal articles:

  1. Peiris, T. S. N., Silva, R. M. (2020). Player Ranking in Taekwondo: A Bayesian Elo Rating System. IEEE, 1, 1-5.
  2. Silva, R. M., Guan, Y., & Swartz, T. B. (2019). Bayesian treatment of non-standard problems in test analysis. METRON, 77(3), 227-238.
  3. Silva, R. M., Davis, J., & Swartz, T. B. (2018). The evaluation of pace of play in hockey. Journal of Sports Analytics, 4(2), 145-151
  4. Silva, R. M., Guan, Y., & Swartz, T. B. (2017). Bayesian Diagnostics for Test Design and Analysis. Journal on Efficiency and Responsibility in Education and Science, 10(2), 44-50.
  5. Silva, R. M., & Swartz, T. B. (2016). Rejoinder to Myers (2016). Journal of Quantitative Analysis in Sports, 12(3), 125-125.
  6. Silva, R. M., & Swartz, T. B. (2016). Analysis of substitution times in soccer. Journal of Quantitative Analysis in Sports, 12(3), 113-122.
  7. Davis, J., Perera, H., Silva, R. M., & Swartz, T. B. (2016). Tactics for Twenty20 cricket. South African Statistical Journal, 50(2), 261-271.
  8. Silva, R. M., Manage, A. B., & Swartz, T. B. (2015). A study of the powerplay in one-day cricket. European Journal of Operational Research, 244(3), 931-938.

 


  • Pathberiya H.A.

         Journal articles:

  1. Pathberiya H. A., Tilakaratne C. D. And Hansen L. L. (2019), ‘An improved algorithm to handle noise objects in the process of clustering’, International Journal of Data Science, vol. 4(1), pp.1-17, DOI: 10.1504/IJDS.2019.098358.
  2. Pathberiya H. A., and Dias P. (2013). ‘Modelling electricity sales in Sri Lanka and Colombo city using different statistical methods’, Journal of the National Science Foundation of Sri Lanka, vol. 41(1), pp.41-51, DOI: http://doi.org/10.4038/jnsfsr.v41i1.5332.

          Conference Proceedings:

  • Pathberiya H. A., Gunarathne L., Amarasinghe P. and Rajanayagam N. (2021), ‘Impact of Covid-19 pandemic on the learning process of Undergraduates: Current and Future Implications’, National Conference on COVID 19: Impact, Mitigation, Opportunities and Building Resilience, Sri Lanka. pp.77.
  • Gunadasa H. V., Pathberiya H. A. (2020). ‘Forecasting Bitcoin price behaviour subject to dynamic volatility condition’, 40th International Symposium on Forecasting, Australia
  • Fernando P.N., Pathberiya H. A. (2020). ‘Sector-wise modeling approach to forecast GDP’, 4th International Conference on Economics and Development – ICED 2020, Sri Lanka.
  • Pathberiya H. A., Tilakaratne C. D. And Hansen L. L. (2017). ‘An intelligent decision support system for Forex trading through artificial neural network integrated with GARCH estimates and Intrinsic Mode Functions’, Proceedings of the IEEE Technically Sponsored Intelligent Systems Conference (IntelliSys) 2017, London. pp.436 – 445.
  • Pathberiya H. A., Tilakaratne C. D. And Hansen L. L. (2017). ‘Expert System to Forecast Exchange Rate behaviour towards News Surprises: An application to EUR/USD Exchange Rates’, Proceedings of the International Conference on Computational Modeling & Simulation (ICCMS) 2017, Colombo. pp. 23-26.
  • Pathberiya H. A., Hansen L. L. and Tilakaratne C. D. (2017). ‘Empirical Mode Decomposition and ANN Based Hybrid Approach to Forecast High Frequency Foreign Exchange Rates’, Proceedings of the International Symposium on Forecasting 2017, Cairns, Australia. pp. 59.
  • Pathberiya H. A., Tilakaratne C. D. And Hansen L. L. (2017) ‘Dynamic Environment Based Clustering and Hybrid Modeling for Financial Markets’, Proceedings of SLAYS Open Forum 2017, Colombo. pp. 56.  
  • Pathberiya H. A., Hansen L. L., Tilakaratne C. D., and Lokupitiya R. S. (2016). ‘A comparison of clustering algorithms in categorizing economic events based on the behavior of exchange rates’, Proceedings of the Annual International Conference on Operations Research and Statistics 2016, Singapore. pp. 14-20. DOI: 10.5176/2251-1938_ORS16.7
  • Pathberiya H. A., Tilakaratne, C. D. & Hansen, L. L. (2014). ‘Modelling the EUR/USD return volatility on the days of simultaneous releases of economic indicators: Unemployment rate and Non-farm payroll’, Proceedings of the International Forum for Mathematical Modelling 2014, Colombo, Sri Lanka, pp. 98-100.
  • Pathberiya H. A., Tilakaratne C. D., Hansen L. L. and Lokupitiya R. S. (2014). ‘Modeling EUR/USD return volatility incorporating long run co-movements in exchange rates and US economic indicators’, Proceedings of the International Statistics Conference 2014., Institute of Applied Statistics Sri Lanka, pp. 55.
  • Pathberiya H. A., Tilakaratne C. D., Hansen L. L. and Lokupitiya R. S. (2013). ‘Model free evaluation of intraday periodicities of exchange rate return volatility’, Proceedings of the 69th Annual Sessions, 2013, Sri Lanka Association for the Advancement of Science, pp. 254.
  • Pathberiya H. A., and Dias P., Modeling Electricity Consumption in Sri Lanka and in Colombo  – A Comparison of Approaches, Proceedings of the International Statistics Conference 2011 (abstracts). pp. 102.

 


  • Devpura N.

          Journal Articles:

  1. Devpura, N., Narayan, P.K., and Sharma, S.S., 2018. Is stock return predictability time-varying? Journal of International Financial Markets, Institutions & Money volume 52, pages 152172. 

 


  • Perera K.M.P.

          Conference Proceedings:

  1. K.M.P. Perera and B.M.S.G. Banneheka (2008). Time series forecasting models for air temperature at Katunayake, Proceedings of the 64 th Annual Session of the Sri Lanka Association for the Advancement of Science, 120pp.

  • Talagala T S.

          Journal Articles:

  1. Talagala, TS (2015). Distributed lag nonlinear modelling approach to identify relationship between climatic factorsand dengue incidence in Colombo District, Sri Lanka. Epidemiology, Biostatistics and Public Health 12(4).
  2. Talagala, TS and R Lokupitiya (2015). Wavelet analysis of dengue transmission pattern in Sri Lanka. International Journal of Mosquito Research, 2(4): 13-18
  3. Talagala, TS, RJ Hyndman & G Athanasopoulos (2018). Meta-learning how to forecast time series. Working Paper 6/18. Department of Econometrics & Business Statistics, Monash University
  4. Talagala, TS, F Li, and Y Kang (2019). FFORMPP: Feature-based forecast model performance prediction. arXiv preprint arXiv:1908.11500.
  5. Montero-Manso, P, G Athanasopoulos, RJ Hyndman, and TS Talagala (2020). FFORMA: Feature-based forecast model averaging. International Journal of Forecasting 36(1), 86–92.

          Conference Proceedings:

  1. Talagala T. S., & Talagala P. D. (2014).Learning style preferences of first year statistics undergraduates, International Statistics Conference –2014, organized by Institute of Apllied Statistics, Sri Lanka jointly with Department of Bioinformatics and Biostatistics, University of Louisville, USA
  2. Talagala T. S., & Kalukottege C. J. P. (2014). Factors associated with consumers’ awareness and use of information on food labels, International Forum for Mathematical Modelling, Research and Development Center for Mathematical Modeling attached to Department of Mathematics, University of Colombo. This was organized under the DAAD (German Academic Exchange Program) partnership program in collaboration with University of Kaiserslautern, Germany, Kathmandu University, Nepal, Institute of Technology Bandung, Indonesia and the Center for Computational Continuum Mechanics, Slovenia
  3. Talagala P. D.,& Talagala T. S. (2014). Skills demanded by employers from fresh graduates immediately after completing their university education, Annual Research Conference –2014, National School of Business Management, Sri Lanka.
  4. Talagala T. S. (2013). Statistical analysis on consumers’ use of food label information: case study of Colombo district, Sri Lanka, Annual Academic Sessions-2013, The open university of Sri Lanka.
  5. Talagala T. S., & Kalukottege C. J. P. (2012). Statistical analysis on consumers’ use of food labels, Scientific Sessions – 2013, Faculty of Medical Sciences, University of Sri Jayewardenepura.