- Statistical Distribution Estimation and Applications
- Hydrology and Drought Analysis
- Bayesian Methods and Mixture Models
- Climate variability and models
- Wind and Air Flow Studies
- Financial Risk and Volatility Modeling
- Advanced Statistical Methods and Models
- Air Quality and Health Impacts
- Statistical Methods and Bayesian Inference
- Wind Energy Research and Development
- Air Quality Monitoring and Forecasting
- Probabilistic and Robust Engineering Design
- Income, Poverty, and Inequality
- Monetary Policy and Economic Impact
- Vehicle emissions and performance
- Survey Sampling and Estimation Techniques
- Precipitation Measurement and Analysis
- Traffic and Road Safety
- Energy Load and Power Forecasting
- Reliability and Maintenance Optimization
- Fuzzy Systems and Optimization
- Probability and Risk Models
- Spatial and Panel Data Analysis
- Agricultural risk and resilience
- Statistical Methods and Inference
National University of Malaysia
2014-2024
National Defence University of Malaysia
2024
Al al-Bayt University
2017
Universidad Católica del Norte
2011
University Kebangsaan Malaysia Medical Centre
2009-2010
Ain Shams University
2005
Air quality monitoring is important in the management of environment and pollution. In this study, time series PM10 from air stations Malaysia were clustered based on similarity terms patterns. The identified clusters analyzed to gain meaningful information regarding patterns identify characterization for each cluster. data 5 July 2017 31 January 2019, obtained Malaysian Department Environment Dynamic Time Warping as dissimilarity measure used study. At same time, k-Means, Partitioning...
Many studies have found that wind speed is the most significant parameter of power. Thus, an accurate determination probability distribution important to measure before estimating energy potential over a particular region. Utilizing will minimize uncertainty in resource estimates and improve site assessment phase planning. In general, different regions regimes. Hence, it reasonable distributions be for regions. Because consider regimes vary according region country, nine statistical been...
Abstract The identification of the most appropriate models to represent rainfall distribution is very important as it can be utilised in various applications such those water resource management, agricultural planning department and hydrological sectors. Various types probability have been introduced applied dry (wet) spells by previous researchers field. With application these models, this study will investigate best describe wet at each 38 stations Peninsular Malaysia for period 1975–2004....
The generalized extreme value distribution (GEVD) and various distributions are commonly applied in air pollution, telecommunications, operational risk management, finance, insurance, material sciences, economics, hydrology, among many other industries that deal with events. Extreme (EVDs) typically limit the of maximum minimum values for random observations drawn from same arbitrary distribution. Besides that, it is a crucial method forecasting future events emerged as critical predicting...
There are many factors which could influence the level of health an individual. These interactive and their overall effects on usually measured by index is called as index. The also be used indicator to describe a community. Since important, research have been done study its determinant. main purpose this model individual based classical structural equation modeling (SEM) Bayesian SEM. For estimation parameters in measurement models, SEM applies robust-weighted least-square approach, while...
In almost all research fields, the procedure for handling missing values must be addressed before a detailed analysis can made. Thus, suitable method of imputation should chosen to address value problem. Wind speed has been found in engineering practice most significant parameter wind power. However, researchers are sometimes faced with problem data caused by equipment failure. this study, we attempt implement four types single methods estimate from three adjacent stations Malaysia. The...
We modify RSS to come up with new sampling method, namely, Multistage Median Ranked Set Sampling (MMRSS). The MMRSS was suggested for estimating the population median and increase efficiency of estimator specific value sample size. compared Simple Random (SRS), (RSS) (MRSS) methods. It is found that gives an unbiased estimate symmetric distributions it more efficient than SRS, MRSS based on same number measured units. Also, increases in r (r stage) For asymmetric considered this study, has a...
The health of an individual is influenced by many factors. These could include factors that are related to the economy and environment, as well social biological Many studies have been carried out study effect these on health, in terms or combined main purpose this was demonstrate value structural equation modeling for construction index describe status individual.