- \n
- HYBRID TIME SERIES MODEL APPLIED FOR FORECASTING AND AS A MISSING VALUES IMPUTATION METHOD FOR LONG TERM LOAD<\/li>\n
- NEW IMPUTATION METHOD IN HANDLING THE MISSING DATA IN ERROR-IN-VARIABLE MODELS<\/li>\n
- ADAPTIVE TURNING POINT ERROR FOR ARTIFICIAL NEURAL NETWORK FORECASTING ON BURSA MALAYSIA STOCK MARKET<\/li>\n<\/ul>\n
<\/strong><\/h2>\n
<\/strong><\/h2>\n
<\/strong><\/h2>\n
Conferences<\/strong><\/h2>\n
- \n
- 9TH ISLAMIC COUNTRIES CONFERENCE ON STATISTICAL SCIENCES 2007 (ICCS\u2013 IX) – 2007<\/li>\n
- INTERNATIONAL CONFERENCE ON MATHEMATICS AND STATISTICS 2008 (ICOMS \u2013 3), BOGOR, INDONESIA – 2008<\/li>\n
- EKSPO PENYELIDIKAN, REKACIPTA & INOVASI 2009, KUALA LUMPUR – 2009<\/li>\n
- 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA), BUKIT TINGGI, INDONESIA – 2009<\/li>\n
- NATIONAL SCIENCE POSTGRADUATE CONFERENCE 2011, UNIVERSITI MALAYA – 2011<\/li>\n
- 1ST ISM INTERNATIONAL STATISTICAL CONFERENCE (ISM-1 2012), JOHOR BAHRU – 2012<\/li>\n
- 3RD INTERNATIONAL CONFERENCE ON APPLIED AND COMPUTATIONAL MATHEMATICS (ICACM ’14), GENEVA, SWITZERLAND –\u00a02014<\/strong><\/li>\n<\/ul>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.6.6″ _module_preset=”default”][et_pb_text _builder_version=”4.6.6″ _module_preset=”default”]<\/p>\n
Publications<\/strong><\/h2>\n
- \n
- Modelling Malaysian Wind Speed via Lognormal Distribution, Jurnal Sains – 2008<\/li>\n
- Fitting Malaysian Wind Speed via Weibull Distribution (Proceedings) – 2008<\/li>\n
- Fitting Malaysian Wind Speed via Extreme Value Distribution Type One \u2013 Gumbel Distribution, Jurnal Sains – 2008<\/li>\n
- Fitting Wind Speed via Extreme Value Distributions (Proceedings) – 2009<\/li>\n
- Finding the Best Circular Distribution for Southwesterly Monsoon Wind Direction in Malaysia, Sains Malaysiana – 2010<\/li>\n
- Distribution of Wind Direction Recorded at Maximum Wind Speed: A Case Study of Malaysia Wind Data for 2005, Academics Journal – 2011<\/li>\n
- Fuzzy Time Series and SARIMA Model for Forecasting Tourism Arrivals to Bali, Jurnal Teknologi – 2011<\/li>\n
- Fuzzy Time Series: An Application to Tourism Demand Forecasting, American Journal of Applied Science – 2012<\/li>\n
- Disaggregation-And-Combination Approach for A Seasonal Malaysia Short Term Load Forecasting (Proceedings) – 2014<\/li>\n
- Fractional Residual Plot for Model Validation, Jurnal Teknologi – 2017<\/li>\n
- Load Forecasting using Combination Model of Multiple Linear Regression with Neural Network for Malaysia City, Sains Malaysiana \u2013 2018<\/li>\n
- Imputation Techniques for Incomplete Load Data Based on Seasonality and Orientation of the Missing Values, Sains Malaysiana – 2020<\/li>\n
- Forecasting Wind Speed Data by Using a Combination of ARIMA Model with Single Exponential Smoothing, MMEP – 2021<\/span><\/li>\n<\/ul>\n
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Research Grant HYBRID TIME SERIES MODEL APPLIED FOR FORECASTING AND AS A MISSING VALUES IMPUTATION METHOD FOR LONG TERM LOAD NEW IMPUTATION METHOD IN HANDLING THE MISSING DATA IN ERROR-IN-VARIABLE MODELS ADAPTIVE TURNING POINT ERROR FOR ARTIFICIAL NEURAL NETWORK FORECASTING ON BURSA MALAYSIA STOCK MARKET Conferences 9TH ISLAMIC COUNTRIES CONFERENCE ON STATISTICAL SCIENCES 2007 (ICCS\u2013 […]<\/p>\n","protected":false},"author":21415,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"
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