Rashad A. R. Bantan

King Abdulaziz University

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Mohammed Elgarhy

Beni-Suef University

Nidal H. Abu‐Hamdeh

King Abdulaziz University

Farrukh Jamal

Islamia University of Bahawalpur

Christophe Chesneau

Université de Caen Normandie

Ramadan H. Abu‐Zied

King Abdulaziz University

F.M. van der Zwan

King Abdullah University of Science and Technology

Nico Augustin

GEOMAR Helmholtz Centre for Ocean Research Kiel

Muhammad Aslam

King Abdulaziz University

Colin W. Devey

GEOMAR Helmholtz Centre for Ocean Research Kiel

Nasrullah Khan

University of the Punjab

Cooperative Institutions

King Abdulaziz University

GEOMAR Helmholtz Centre for Ocean Research Kiel

Islamia University of Bahawalpur

Kiel University

Cairo University

Mansoura University

Abdul Wali Khan University Mardan

University of Wollongong

King Abdul Aziz University Hospital

Leibniz Association

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Study of a Modified Kumaraswamy Distribution

Mathematics (2021)

Rashad A. R. Bantan Christophe Chesneau Farrukh Jamal Mohammed Elgarhy Waleed Almutiry

In this article, a structural modification of the Kumaraswamy distribution yields a new two-parameter distribution defined on (0,1), called the modified Kumaraswamy distribution. It has the advantages of being (i) original in its definition, mixing logarithmic, power and ratio functions, (ii) flexible from the modeling viewpoint, with rare functional capabilities for a bounded distribution—in particular, N-shapes are observed for both the probability density and hazard rate functions—and (iii) a solid alternative to its parental Kumaraswamy distribution in the first-order stochastic sense. Some statistical features, such as the moments and quantile function, are represented in closed form. The Lambert function and incomplete beta function are involved in this regard. The distributions of order statistics are also explored. Then, emphasis is put on the practice of the modified Kumaraswamy model in the context of data fitting. The well-known maximum likelihood approach is used to estimate the parameters, and a simulation study is conducted to examine the performance of this approach. In order to demonstrate the applicability of the suggested model, two real data sets are considered. As a notable result, for the considered data sets, statistical benchmarks indicate that the new modeling strategy outperforms the Kumaraswamy model. The transmuted Kumaraswamy, beta, unit Rayleigh, Topp–Leone and power models are also outperformed.

Quantile function

Student's t-distribution

10.3390/math9212836

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Citations (6)

Chlorophyll-a, and Sea Surface Temperature (SST) as proxies for Climate Changes: Case Study in Batu Ampar waters, Riau Islands

IOP Conference Series Earth and Environmental Science (2019)

Satria Antoni Rashad A. R. Bantan Talha A. Al-Dubai Muhammad Zainuddin Lubis Wenang Anurogo

Abstract The condition of Indonesian oceanography is largely determined by the development of the Monsoon Wind and the Indonesian Cross Flow (ARLINDO). The development of marine remote sensing technology that is so fast, able to make it easier to map the condition of waters in Indonesia in an actual way easily and cheaply. This can make it easier to obtain information about climate change approaches to the physical oceanography conditions in Indonesian waters. The purpose of this research is to study the changes of the physical oceanography parameters resulting from climate changes. Based on the results of the research that for the highest Sea Surface Temperature (SST) exist in 2013 (above 30,75 °C). It has increased from the previous year i.e. in 2012 with an increase of SST value of 30 o C. In 2013 SST is spread high on the Batu Ampar Permit - Harbor Bay ferry port. Analyzing the value of chlorophyll-a, sea surface temperature, and sea level to see global climate change in the waters of Batu Ampar. The analysis shows the highest sea level with an elevation of 3.1 meters, with sea surface temperature in the range of 29,5 °C - 29,75 °C, at the time of recording 00:05-02:55 (August 1, 2017 - September 1, 2017). The results of the analysis obtained from the oceanographic conditions in the waters of Batu Ampar did not experience a fluctuating change in global climate change in the waters. The annual SST interval spacing interval of 0.5-0.75 °C and the changing phase relationship could have an impact on subsequent climate change and sea level rise to be concrete evidence. Reduced levels of chlorophyll-a each year will have an impact on the heat of the sea level, thus rising sea levels and indicating a climate with hot temperatures (ice at the poles melt).

10.1088/1755-1315/273/1/012012

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Citations (7)

Late Holocene Environmental Changes in a Sediment Core from Al-Kharrar Lagoon, Eastern Red Sea Coast, Saudi Arabia

Arabian Journal for Science and Engineering (2019)

Rashad A. R. Bantan Ramadan H. Abu‐Zied Talha A. Al-Dubai

Sediment core

Sea coast

10.1007/s13369-019-03958-9

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Citations (12)

Simulation for converting of two phase of water in complex container with finite element approach

Journal of Petroleum Science and Engineering (2022)

Meiling Jiang Awad Musa Nidal H. Abu‐Hamdeh Rashad A. R. Bantan

Shape factor

10.1016/j.petrol.2022.110675

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Citations (0)

Applications of Hesitant Interval Neutrosophic Linguistic Schweizer-Sklar Power Aggregation Operators to MADM

Journal of Function Spaces (2022)

Qaisar Khan Rashad A. R. Bantan Mohammed Elgarhy

Hesitant interval neutrosophic linguistic sets (HINLSs) are one of the core generalization of various sets, such as neutrosophic set (NS), interval neutrosophic set (INS), and interval neutrosophic linguistic set (INLS). HINLS can represent the uncertainty, inconsistency, and reluctance of assessment specialists by expressing qualitative and quantitative information. The goal of this article is to introduce a novel MADM technique that can account for changes in the semantic environment as well as negative consequences of experts’ excessive evaluation values. First, several innovative operational rules based on Schweizer-Sklar (SS)

t

-norm and

t

-conorm and a novel comparison procedure for HINLS are established by integrating different linguistic scale functions. This allows for varied semantic settings to be handled. Then, various innovative HINL Schweizer-Sklar power aggregation operators (AOs) are suggested, containing hesitant interval neutrosophic SS power average (HINLSSPA) operator, weighted hesitant interval neutrosophic SS power average (WHINLSSPA) operator, hesitant interval neutrosophic SS power geometric average (HINLSSPGA) operator, weighted hesitant interval neutrosophic SS power geometric average (WHINLSSPGA) operator, some core properties, and various special cases of these AOs are examined. Additionally, based on the initiated AOs, a multiple attribute decision making (MADM) technique with HINL information is anticipated. Finally, a numerical example is illustrated to show the effectiveness and practicality of the anticipated MADM method. A comparison with existing approaches are also discussed.

Operator (biology)

Expressive power

10.1155/2022/1654820

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Citations (4)

Controlled drug delivery using the magnetic nanoparticles in non-Newtonian blood vessels

Alexandria Engineering Journal (2020)

Nidal H. Abu‐Hamdeh Rashad A. R. Bantan Farhad Aalizadeh Ashkan Alimoradi

Fouling in blood flow is very common and may decrease the blood flow in human body and lead to critical health issues. Upon injury in a blood vessel, the body's defensive system triggers a process to create a blood clot called "Thrombus", which prevents bleeding. Blood clots are formed by a combination of blood cells, platelets, and fibrins. In this study, we investigate a controlled drug delivery using the magnetic nanoparticles in blood vessels under the influence of magnetic fields. For this purpose the Maxwell and the Navier-Stokes equations for the system are solved. In contrary to the previous studies it is assumed that the blood is a non-Newtonian fluid. The number of particles has been considered large enough to gain statistically robust results and the effects of various parameters on the settlement of nanoparticles on the surface of a bump in the blood vessel by the magnetic field is inspected. It is revealed that considering non-Newtonian characteristics is essential in modeling such systems and the results may be very different from those obtained by assuming the blood as a Newtonian fluid. Also, it is found that the magnetic field intensity and the magnetic field permeability coefficient have important effects on the settlement of nanoparticles.

10.1016/j.aej.2020.07.010

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Citations (28)

Half-Logistic Xgamma Distribution: Properties and Estimation under Censored Samples

Discrete Dynamics in Nature and Society (2020)

Rashad A. R. Bantan Amal S. Hassan Mahmoud Elsehetry Golam Kibria

This paper proposed a new probability distribution, namely, the half-logistic xgamma (HLXG) distribution. Various statistical properties, such as, moments, incomplete moments, mean residual life, and stochastic ordering of the proposed distribution, are discussed. Parameter estimation of the half-logistic xgamma distribution is approached by the maximum likelihood method based on complete and censored samples. Asymptotic confidence intervals of model parameters are provided. A simulation study is conducted to illustrate the theoretical results. Moreover, the model parameters of the HLXG distribution are estimated by using the maximum likelihood, least square, maximum product spacing, percentile, and Cramer–von Mises (CVM) methods. Superiority of the new model over some existing distributions is illustrated through three real data sets.

Logistic distribution

Log-logistic distribution

10.1155/2020/9136513

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Citations (8)

Retraction notice to “Assessment of using energy recovery from a sustainable system including a pyramid-shaped photovoltaic cells and batteries to reduce heating energy demand in the ventilation section” [J. Energy Storage 55 (2022) 105706]

Journal of Energy Storage (2024)

Turki AlQemlas Meshari A. Al-Ebrahim Nidal H. Abu‐Hamdeh Rashad A. R. Bantan

Sustainable Energy

Section (typography)

energy demand

10.1016/j.est.2024.112275

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Citations (0)

A New Extended Cosine—G Distributions for Lifetime Studies

Mathematics (2021)

Mustapha Muhammad Rashad A. R. Bantan Lixia Liu Christophe Chesneau M. H. Tahir

In this article, we introduce a new extended cosine family of distributions. Some important mathematical and statistical properties are studied, including asymptotic results, a quantile function, series representation of the cumulative distribution and probability density functions, moments, moments of residual life, reliability parameter, and order statistics. Three special members of the family are proposed and discussed, namely, the extended cosine Weibull, extended cosine power, and extended cosine generalized half-logistic distributions. Maximum likelihood, least-square, percentile, and Bayes methods are considered for parameter estimation. Simulation studies are used to assess these methods and show their satisfactory performance. The stress–strength reliability underlying the extended cosine Weibull distribution is discussed. In particular, the stress–strength reliability parameter is estimated via a Bayes method using gamma prior under the square error loss, absolute error loss, maximum a posteriori, general entropy loss, and linear exponential loss functions. In the end, three real applications of the findings are provided for illustration; one of them concerns stress–strength data analyzed by the extended cosine Weibull distribution.

Quantile

10.3390/math9212758

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Citations (37)

Evidence for and relationship between recent distributed extension and halokinesis in the Farasan Islands, southern Red Sea, Saudi Arabia

Arabian Journal of Geosciences (2015)

Khalid A. Almalki Laurent Aillères Peter Betts Rashad A. R. Bantan

Salt dome

Basement

10.1007/s12517-015-1792-9

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Citations (17)