{"id":2299,"date":"2021-03-06T13:21:43","date_gmt":"2021-03-06T07:51:43","guid":{"rendered":"https:\/\/science.cmb.ac.lk\/icmas2021\/?page_id=2299"},"modified":"2021-12-03T08:32:07","modified_gmt":"2021-12-03T03:02:07","slug":"decision-science","status":"publish","type":"page","link":"https:\/\/science.cmb.ac.lk\/icmas2021\/icmas\/conference-tracks\/decision-science\/","title":{"rendered":"Decision Science"},"content":{"rendered":"

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Conference Track - F<\/h2>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>
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TRACK F: Decision Science<\/h3>\n<\/div>\n
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Co-Chairs:<\/strong> Prof. Chandima Tillakaratne <\/i><\/a>\u00a0Dr. Rushan Abeygunawardana <\/i><\/a>
Coordinator:<\/strong> Dr. Gayan Dharmarathne <\/i><\/a>
Members:<\/strong> Dr. Sameera Viswakula <\/i><\/a> Dr. G P Lakraj <\/i><\/a> Dr. Gayan Dharmarathne <\/i><\/a><\/p>\n

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<\/i> Date & Time: 25th of November 2021 at 8.00 AM \u2013 5.00 PM<\/h4>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>
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\n\t\n\t\tRegister here!\t<\/a>\n<\/div>\n
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\n\t\n\t\tJoint with zoom!\t<\/a>\n<\/div>\n
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<\/i> EXPLORE TRACK F<\/h3>\n<\/div>\n
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The topics of interest include, but not limited to, the following:<\/p>\n

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Surveys, sampling and estimation:<\/h4>\n<\/div>\n
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Any research and studies focused on statistical analysis and estimation of primary data collected from sample surveys, and theorical developments for estimation will be considered under this track.<\/p>\n

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Statistical methods for decision making:<\/h4>\n<\/div>\n
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Any research and studies focused on statistical analysis for decision making based on secondary data, simulations and experiments, and theoretical developments will be accepted for this track.<\/p>\n

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Mathematical Tools for Decision making<\/h4>\n<\/div>\n<\/div><\/div><\/div>
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Invited Talks<\/h3>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>
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Time: 8.15 a.m. to 9.15 a.m\r\n<\/h5>\n<\/div>\n\n
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New GARCH-type Models with Applications to Finance & Biology \r\n<\/h5>\n<\/div>\n
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Prof. V A Samaranayake (Keynote Speaker)<\/h5>\n<\/div>\n
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Department of Mathematics & Statistics
Missouri University of Science and Technology
USA<\/p>\n

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Time: 1.00 p.m. to 2.00 p.m. <\/h5>\n<\/div>\n\n
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Quick Detection Updating Variable Life-Adjusted Display\r\n<\/h5>\n<\/div>\n
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Prof. Gan Fah Fatt (Guest Speaker)<\/h5>\n<\/div>\n
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Department of Statistics and Data Science,
National University of Singapore,
Singapore<\/p>\n

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Technical Session 01: Decision Making Using Time Related Data<\/h3>\n<\/div>\n\n
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Session Chair<\/h4>\n<\/div>\n
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Prof. Chandima Tillakaratne\r\n<\/h5>\n<\/div>\n
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Department of Statistics
University of Colombo<\/p>\n

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Dr. A A Sunethra<\/h5>\n<\/div>\n
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Department of Statistics
University of Colombo<\/p>\n

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Date & Time: 25th November 2021 at 9.30 AM to 12.00 NOON\r\n<\/h5>\n<\/div>\n\n
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Decision Making Using Time Related Data\r\n<\/h5>\n<\/div>\n\n
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Technical Papers\r\n<\/h5>\n<\/div>\n
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9.30 a.m.<\/td>\nICMAS_F017<\/td>\nInvestigating Intensity of Tornado Events via Statistical Manifold Learning of Tornado Property Losses
Thilini Mahanama, Pushpi Paranamana and Dimitri Volchenkov<\/td>\n<\/tr>\n
9.45 a.m.<\/td>\nICMAS_F005<\/td>\nARIMA and ARIMAX Modelling of dengue cases in Jakarta
A.M.C.H. Attanayake, S.S.N. Perera and U.P. Liyanage<\/td>\n<\/tr>\n
10.00 a.m.<\/td>\nICMAS_F010<\/td>\nThe Sensitivity between the Economic Classification of the Government Recurrent Expenditure of Sri Lanka
Venuri De Silva and Rajith Munasinghe<\/td>\n<\/tr>\n
10.15 a.m.<\/td>\nICMAS_F011<\/td>\nSpatio-Temporal analysis of Leptospirosis Disease incidence in Sri Lanka
Chamodi Perera and Chandima Tilakaratne<\/td>\n<\/tr>\n
10.30 a.m.<\/td>\nICMAS_F018<\/td>\nForecast Petroleum Usage in Sri Lanka
Lamahewage Samudra Madushani and Kankanige Diana Nilmini Kumari<\/td>\n<\/tr>\n
10.45 a.m.<\/td>\nICMAS_F019<\/td>\nStatistical modelling with citizen science data for resident shorebirds on the Mornington Peninsula
Udani Wijewardhana, Denny Meyer and Madawa Jayawardana<\/td>\n<\/tr>\n
11.00 a.m.<\/td>\nICMAS_F006<\/td>\nModelling recurrent event data: An application in Arts Graduate Employment
Gihari K. Epage and I.T. Jayamanne<\/td>\n<\/tr>\n
11.15 a.m.<\/td>\nICMAS_F008<\/td>\nFunctional Data Analysis of Circadian Rhythms in Core Body Temperature
Sekha Daluwatumulle and Pemantha Lakraj<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Technical Session 02: Quantitative Methods for Decision Making\r\n<\/h3>\n<\/div>\n\n
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Session Chair<\/h4>\n<\/div>\n
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Dr. Rushan Abeygunawardana\r\n<\/h5>\n<\/div>\n
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Department of Statistics
University of Colombo<\/p>\n

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Dr. K A D Deshani<\/h5>\n<\/div>\n
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Department of Statistics
University of Colombo<\/p>\n

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Date & Time: 25th November 2021 at 2.15 PM to 4.45 PM\r\n<\/h5>\n<\/div>\n\n
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Quantitative Methods for Decision Making\r\n<\/h5>\n<\/div>\n\n
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Technical Papers\r\n<\/h5>\n<\/div>\n
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2.15 p.m.<\/td>\nICMAS_F014<\/td>\nA generalized reciprocal service cost allocation model – For manufacturing firms
M.H.K.M. Hameem<\/td>\n<\/tr>\n
2.30 p.m.<\/td>\nICMAS_F007<\/td>\nNew Meta-heuristic approach to solve Two-Suppliers Three Buyers Stochastic Supply Chain Model
Rajika Gunarathne and Z.A.M.S. Juman<\/td>\n<\/tr>\n
2.45 p.m.<\/td>\nICMAS_F003<\/td>\nFactor Identification and Multiple Correspondence Analysis of Road Traffic Accidents in Sri Lanka: With special reference to road A003
Kasun Amarasinghe and Gayan Dharmarathne<\/td>\n<\/tr>\n
3.00 p.m.<\/td>\nICMAS_F009<\/td>\nFactors associated with the Fatality of road traffic accidents in Matale District
Shanika Balasooriya and Sengarapilai Arivalzahan<\/td>\n<\/tr>\n
3.15 p.m.<\/td>\nICMAS_F001<\/td>\nOnline learning and Students\u2019 Perceived Satisfaction: A case study
P.H.D. Buddhima and J.H.D.S.P Tissera<\/td>\n<\/tr>\n
3.30 p.m.<\/td>\nICMAS_F013<\/td>\nA statistical study on the factors associated with employment status among graduates in University of Jaffna
Nimasha Kumarasinghe and Sengarapillai Arivalzahan<\/td>\n<\/tr>\n
3.45 p.m.<\/td>\nICMAS_F015<\/td>\nImpact of Sampling Design and Sampling Weights on Survey Data Analysis
Lankadinee Rathuwadu, Deepa Weerasekara and Imali Jayamanne<\/td>\n<\/tr>\n
4.00 p.m.<\/td>\nICMAS_F004<\/td>\nDevelopment of predictive models for the assessment of the risk of diagnosing Endometriosis in the presence of Polycystic Ovary Syndrome (PCOS): A case study
Vinu Jayathunga and Champa Magalla<\/td>\n<\/tr>\n
4.15 p.m.<\/td>\nICMAS_F012<\/td>\nCompare the performance of Neural Network based Indoor Positioning Techniques
Lasini Chamoda D. Wickramasinghe and Maheshi B. Dissanayake<\/td>\n<\/tr>\n
4.30 p.m.<\/td>\nICMAS_F022<\/td>\nSupport Vector Machine based Named Entity Recognition for Sinhala
Sasanka Mallikarachchi, S.A.S. Lorensuhewa and M.A.L.Kalyani<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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