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Browsing SymSCMA – 2016 by Title

Browsing SymSCMA – 2016 by Title

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  • Material Cost Estimation of Newspaper Printing Process by using Multiple Linear Regression Models 
    Jayasinghe, J.M.T.N.; Abeygunawardana, R.A.B. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    Newspaper printing industry is one of the popular industry in developing countries like Sri Lanka. Newspapers become one of the major sources of disseminating news among people. When printing a newspaper, the company has ...
  • A Model for Predicting Yield of Seeds in Ficus Fruits 
    Jayarathna, H.L.D.K.; Nawarathna, L.S.; Karunaratne, W.A.I.P. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    Ficus is one of the largest plant genus which has an ecological significance due to the presence of “keystone” species. Availability of its sole mutualistic wasp pollinator and the effect of non-pollinator wasps determine ...
  • Modelling and Forecasting Tourist Arrivals in Sri Lanka 
    Priyangika, J.H.; Pallawala, P.K.B.N.M.; Sooriyaarachchi, D.J.C. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    Tourism is one of the major industry shows a rapid growth in the Sri Lankan economy. According to the annual tourism statistics, the international tourist arrivals shows 4.4% growth in 2015 and 27.72% growth in foreign ...
  • Natural Frequencies of Equilateral Triangular Plates under Classical Edge Supports 
    Pradhan, K.K.; Chakraverty, S. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    In this paper, free vibration of thick equilateral triangular plates subject to classical boundary conditions has been investigated based on a new shear deformation theory, which needs no shear correction factor for stress ...
  • New Feature Selection Method for High Dimensional Gene Data 
    Fajila, M.N.F.; Nawarathna, R.D. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    Dimensionality reduction (i.e., feature selection) is an essential technique in data science when handling high dimensional data such as cancer microarray samples. Cancer microarray experiments normally provide a large ...
  • A New Financial Time Series Approach for Volatility Forecasting 
    Rathnayaka, R.M.K.T.; Seneiratna, D.M.K.N.; Arumawadu, H.I. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    The investment in capital market is easiest, fastest and securable way for building healthy financial foundation today. Because of the economic outlooks causing directly on these market fluctuations, the making decisions ...
  • Sensitivity of Acute Angle to the Heat Transfer Process of a Circular Tube with a Hemispherical Cup at the bottom of an Evacuated Solar Collector 
    Kumari, K.D.N.; Wijerathna, J.K. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    The evacuated solar collectors are made by attaching parallel circular tubes with a hemispherical cup at the bottom and generally solar collectors are installed with an acute –angle  to horizontal. Thus the present study ...

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