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Browsing by Author "Gunawardana, A."

Browsing by Author "Gunawardana, A."

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  • A comparison of distance-based and model-based clustering methods 
    Nadeekantha, H. A. D. D.; Kavinga, H. W. B.; Gunawardana, A.; Dissanayaka, D. M. P. V. (Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Most of the statistical techniques assume the homogeneity of the sample data. However, not all the time, real-world samples are homogeneous. The existence of subgroups within a population leads to the non-homogeneity of ...
  • Correlation Between the Teachers’ and Students’ Motivation in Second Language Achievement: A Review of Literature 
    Jayarathne, P.; Gunawardana, A. (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016)
    In the domain of second language (L2) learning achievement, motivation is considered as a key determinant. During past decades in the educational milieu, numerous researches have been conducted and a considerable number ...
  • Estimating COVID-19 prevalence in Sri Lanka 
    Erandi, J. D. T.; Liyanage, U. P.; Gunawardana, A. (Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Throughout the ages, man has had to face numerous crises and diseases. Among them, the COVID-19 virus can be considered as one of the most fatal diseases ever, and it has caused significant damage to the entire world. ...
  • Nonparametric multiple comparisons and simultaneous confidence intervals for multivariate designs 
    Gunawardana, A.; Konietschke, F. (4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Over the last half-century, the use of multivariate designs has grown rapidly in many scientific disciplines. Such designs can have more than two possibly correlated response variables (endpoints) observed on each experimental ...
  • Wild bootstrapping rank-based procedure: Multiple testing on multivariate data 
    Gunawardana, A.; Konietschke, F. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Multivariate data occur in many scientific applications, for example in agriculture, biology, clinical studies in medicine, or in social sciences. They are apparent if two or more possibly correlated response variables are ...

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