Muhammad Aslam Mohd Safari

ORCID: 0000-0001-5573-0922
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About
Contact & Profiles
Research Areas
  • Income, Poverty, and Inequality
  • Air Quality and Health Impacts
  • Financial Risk and Volatility Modeling
  • Statistical Distribution Estimation and Applications
  • Air Quality Monitoring and Forecasting
  • Monetary Policy and Economic Impact
  • Complex Systems and Time Series Analysis
  • Wind and Air Flow Studies
  • Probabilistic and Robust Engineering Design
  • Insurance, Mortality, Demography, Risk Management
  • Market Dynamics and Volatility
  • Energy and Environment Impacts
  • Hybrid Renewable Energy Systems
  • Advanced Statistical Methods and Models
  • Vehicle emissions and performance
  • Social Acceptance of Renewable Energy
  • Atmospheric chemistry and aerosols
  • Hydrology and Drought Analysis
  • Insurance and Financial Risk Management
  • Economic Theory and Policy
  • Psychological Well-being and Life Satisfaction
  • Global Health Care Issues
  • COVID-19 epidemiological studies
  • Agricultural risk and resilience
  • Phosphorus and nutrient management

Universiti Putra Malaysia
2021-2025

National University of Malaysia
2014-2020

University of Malaya
2020

A study was conducted on slow-release NH4+ fertilizer (SRNH4F) embedded in a hydrogel bead matrix consisted of sodium alginate, poly(acrylic acid), and carboxymethyl cellulose, both without (SPC-A) with (SPC-B) the incorporation oleic acid. The results demonstrated that SPC-B exhibited higher specific surface area, pore volume greater abundance COOH functional groups. Swelling behavior analysis indicated all samples achieved their highest swelling NaOH solution. SRNH4F release studies...

10.1080/10601325.2025.2479002 article EN Journal of Macromolecular Science Part A 2025-03-23

10.1007/s10661-020-08376-1 article EN Environmental Monitoring and Assessment 2020-06-17

The presence of extreme outliers in the upper tail data income distribution affects Pareto modeling. A simulation study is carried out to compare performance three types boxplot detection for data, including standard boxplot, adjusted and generalized boxplot. It found that best method determining distributed data. For application, utilized exreme Malaysian distribution. In addition, this set, confidence interval applied examining dragon-kings, which are beyond or power-laws

10.1080/02664763.2019.1566447 article EN Journal of Applied Statistics 2019-01-16

Poverty is an important issue that needs to be addressed by all countries.Poverty related a group of people earning low income (lower-tail the distribution).In Malaysia, low-income earners are classified as B40 group.This study aims describe behavior distribution using power law model.For this purpose, inverse Pareto model was applied for describing lower tail data Malaysian household income.A robust and efficient estimator, called probability integral transform statistic utilized estimating...

10.13189/ms.2019.070303 article EN Mathematics and Statistics 2019-07-01

The renewable technology is very important in our day lives. impact of are improving lifestyle, meet the basic electricity for rural need and to green environment. Currently community Mersing use grid power source supply by Tenaga Nasional Berhad (TNB). Abundant consistent wind speed potential enough develop turbine. This will generate energy (RE). However, drawbacks device utilization gives burden community. To initiate project, Solar Energy Research Institute (SERI), Universiti Kebangsaan...

10.1109/es2de.2017.8015348 article EN 2017-07-01

The sustainable development of the energy sector through implementation renewable (RE) technology has been a primary concern for government Malaysia since 1990s. Developing RE in rural areas is also one most important strategies. One requirements successful adoption public acceptance this technology. This article examines (wind and solar) technologies among residents Mersing, Malaysia. study conducted conjunction with hybrid wind–solar generation system Marine Ecosystem Research Centre...

10.3390/en13153855 article EN cc-by Energies 2020-07-28

In the modeling and analysis of reliability data via Lindley distribution, maximum likelihood estimator is most commonly used for parameter estimation. However, highly sensitive to presence outliers. this paper, based on probability integral transform statistic, a robust efficient distribution proposed. We investigate relative efficiency new compared that estimator, as well its robustness breakdown point influence function. It found provides reasonable protection against outliers while also...

10.3390/math8091634 article EN cc-by Mathematics 2020-09-21

The new Pareto-type distribution has been previously introduced as an alternative to the conventional Pareto in modeling income distribution. It is claimed provide better flexibility for mathematical simplicity of probability functions and a more straightforward form. In this study, used model Malaysian upper-class group. threshold determined using fixed proportion technique maximum likelihood estimator method estimate shape parameter. Then, goodness-of-fit fitted measured coefficient...

10.17576/jsm-2022-5110-26 article EN Sains Malaysiana 2022-10-31

This article proposes a novel data selection technique called the mixed peak-over-threshold–block-maxima (POT-BM) approach for modeling unhealthy air pollution events. The POT is employed to obtain group of blocks containing points satisfying extreme-event criteria that are greater than particular threshold u. selected groups defined as blocks. In parallel with that, declustering used overcome problem dependency behaviors occurs among adjacent Finally, BM concept integrated determine maximum...

10.3390/ijerph18136754 article EN International Journal of Environmental Research and Public Health 2021-06-23

This study proposes the concept of severity as an alternative measure extreme air pollution events. Information about can be derived from cumulative effect events, which determined unhealthy Air Pollution Index (API) values that occur for a consecutive period. On basis severity, analysis events obtained through application generalized extreme-value (GEV) model. A case was conducted using hourly API data in Klang, Malaysia, 1 January 1997 to 31 August 2020. The block-maxima approach...

10.3390/math10163004 article EN cc-by Mathematics 2022-08-20

Abstract Extreme value theory(EVT) has been used to study the frequency and probability related extreme situations in finance. This approach focuses on values able provide a better estimation for risk models. In this study, Generalized Pareto Distribution (GPD) is employed model daily returns Bitcoin market from 2017 2019. These periods have witnessed three phases of volatility cryptocurrency market. The level range between 17.011 18.746. results demonstrate heavy tail finite distribution...

10.1088/1742-6596/1988/1/012091 article EN Journal of Physics Conference Series 2021-07-01

This paper investigates the rural public acceptance on stand-alone Renewable Energy (RE) project for utilization of Pusat Penyelidikan Ekosistem Marin (EKOMAR) which is located at Kampung Tanjung Resang, Mersing. Two surveys were conducted are before and after installation a hybrid wind-solar renewable energy. The main result showed that 54.7% 96.2 % respondents aware about RE technologies such as wind solar energy in project. In overall, residents generally supportive toward EKOMAR well...

10.1109/es2de.2017.8015349 article EN 2017-07-01

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Anis Syazwani Abd Raof, Mohd Azmi Haron, Muhammad Aslam Safari, Zailan Siri; Measuring the inequality of Malaysian top incomes using a new Pareto-type distribution in rural urban regions. AIP Conf. Proc. 5 January 2024; 2905 (1): 080001. https://doi.org/10.1063/5.0171951 Download citation file: Ris (Zotero)...

10.1063/5.0171951 article EN AIP conference proceedings 2024-01-01

A two-parameter bathtub hazard model was extended in this research. Its failure rate function can be increasing and bathtub-shaped depending on its parameters. The is an important lifetime as it accommodate both monotonic non-monotonic rates. by incorporating covariates the presence of right-and interval-censored data. parameters were estimated using maximum likelihood estimation. Simulation study done to evaluate performance parameter estimates via bias, standard error (SE) root mean square...

10.1063/5.0193257 article EN AIP conference proceedings 2024-01-01

An evolved form of Pareto distribution, the new Pareto-type offers an alternative model for data with heavy-tailed characteristics. This investigation examines and discusses fourteen diverse estimators tail index Pareto-type, including such as maximum likelihood, method moments, product spacing, its modified version, ordinary least squares, weighted percentile, Kolmogorov-Smirnov, Anderson-Darling, Cramér-von Mises, Zhang's variants previous three. Using Monte Carlo simulations,...

10.17576/jsm-2024-5302-18 article EN Sains Malaysiana 2024-02-29
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