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Frank At Checkthat! 2023: Detecting The Political Bias Of News Articles And News Media Notebook For The Checkthat! Lab At Clef 2023, Dilshod Azizov, Preslav Nakov, Shangsong Liang Sep 2023

Frank At Checkthat! 2023: Detecting The Political Bias Of News Articles And News Media Notebook For The Checkthat! Lab At Clef 2023, Dilshod Azizov, Preslav Nakov, Shangsong Liang

Machine Learning Faculty Publications

This paper addresses the challenge of detecting political bias in news articles and media outlets from CheckThat!lab Task 3 [1, 2] by proposing an automated method for classifying these as left, center, or right-leaning. As mass media consumption continues to grow, the capability to identify bias in news reporting is crucial due to the potential societal impact of unaddressed political bias. To tackle this issue, we present a comprehensive approach employing machine learning techniques to detect political leaning in news media and articles. Our model, CatBoost, is evaluated on a diverse dataset comprising over 55,000 news articles sourced from AllSides1 …

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Climate Change And The Courts: Balancing Stewardship And Restraint, Susan Glazebrook Sep 2023

Climate Change And The Courts: Balancing Stewardship And Restraint, Susan Glazebrook

Judicature International

No abstract provided.

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Power–Linear Hazard Distribution Via K-Th Record Values And Characterization Sep 2023

Power–Linear Hazard Distribution Via K-Th Record Values And Characterization

Applied Mathematics & Information Sciences

The power-linear hazard distribution was introduced by [1] as a mixture of power and linear hazard function. This distribution embodies the many lifetime distributions. This paper devotes to establish the recurrence relation based on kth record values. Moreover, characterization results also derived via moment properties.

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A Numerical Confirmation Of A Fractional Seitr For Influenza Model Efficiency, Dalal Khalid Almutairi, Mohamed A.Abdoon, Mohammed Berir, Rania Saadeh, Ahmad Qazza Sep 2023

A Numerical Confirmation Of A Fractional Seitr For Influenza Model Efficiency, Dalal Khalid Almutairi, Mohamed A.Abdoon, Mohammed Berir, Rania Saadeh, Ahmad Qazza

Applied Mathematics & Information Sciences

The main idea of this study is to reduce the number of susceptible to infections so that ill patients can receive prompt hospitalization. Fractional SEITR was introduced for this purpose. Both endemic and disease-free equilibrium’s’ durability was examined. The fundamental reproduction number of the fractional SEITR model was determined using the next-generation matrix method. Our analytical results were supported by numerical models. Here, a graphical representation of the fractional order model is presented to validate the conclusion through numerical simulation. We have come to the conclusion that the fractional order model is more precise and provides more information about the …

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Existence And Uniqueness Of Near-Coupled Coincidence Points In Partial Cone-Interval Metric Spaces, S. S. Solieman Almassri, Nashat Faried, Sahar Mohamed Ali Abou Bakr, H. Abd El-Ghafar∗ Sep 2023

Existence And Uniqueness Of Near-Coupled Coincidence Points In Partial Cone-Interval Metric Spaces, S. S. Solieman Almassri, Nashat Faried, Sahar Mohamed Ali Abou Bakr, H. Abd El-Ghafar∗

Applied Mathematics & Information Sciences

This paper introduces a new type of space called partial cone-interval metric space, and explores some of its topological properties. Using a novel fixed-point technique, we investigate the existence and uniqueness of near-coupled coincidence points in this setting. We provide numerical examples to demonstrate the effectiveness of our approach.

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Ara-Homotopy Perturbation Technique With Applications, Abdelilah K. Sedeeg, Rania Saadeh, Ahmad Qazza, Mohammad A. Amleh, Mohand M. Abdelrahim Sep 2023

Ara-Homotopy Perturbation Technique With Applications, Abdelilah K. Sedeeg, Rania Saadeh, Ahmad Qazza, Mohammad A. Amleh, Mohand M. Abdelrahim

Applied Mathematics & Information Sciences

In this study, we propose a novel combination method between the ARA integral transform and the homotopy perturbation approach to solve systems of nonlinear partial differential equations. The difficulty arising in solving nonlinear partial differential equations could simply be overcome by using He’s polynomials during the application of the new method. The proposed technique can provide the solutions of the target problems without pre-assumptions or restrictive constrains in addition to avoiding the round-off errors. The efficiency of the new method is illustrated by applying it to solve different examples of systems of nonlinear partial differential equations. We discuss three interesting …

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A Probabilistic Siri Epidemic Model Incorporating Incidence Capping And Logistic Population Expansion, Soulaimane Aznague, Mourad El Idrissi, Abdeladim Nait Brahim, Bilal Harchaoui, Saloua Boutouil, Adel Settati Sep 2023

A Probabilistic Siri Epidemic Model Incorporating Incidence Capping And Logistic Population Expansion, Soulaimane Aznague, Mourad El Idrissi, Abdeladim Nait Brahim, Bilal Harchaoui, Saloua Boutouil, Adel Settati

Applied Mathematics & Information Sciences

This study presents a newly developed stochastic SIRI epidemic model, which combines logistic growth with a saturation incidence rate. This research mainly examines the presence and uniqueness of positive solutions within the formulated model. Furthermore, we aim to analyze the long-term performance of the system and provide valuable insights into disease extinction in a population. Our investigation delves into the conditions required for disease extinction, which are crucial in predicting and controlling the spread of deadly diseases. To substantiate our assertions, we have devised a stochastic Lyapunov function, which serves as a robust mathematical framework for demonstrating the presence of …

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On Weighted Discretized Fre ́Chet-Weibull Distribution With Application To Real Life Data, Diksha Das, Bhanita Das Sep 2023

On Weighted Discretized Fre ́Chet-Weibull Distribution With Application To Real Life Data, Diksha Das, Bhanita Das

Applied Mathematics & Information Sciences

Weighted distributions have great practical importance in mathematics, probability and statistics. In this study a new discrete distribution which is a weighted version of Discretized Fréchet-Weibull distribution (DFWD), known as Weighted Discretized Fréchet-Weibull distribution (WDFWD), is proposed. It has been shown that the distribution is unimodal, positively skewed and suitable for modelling with overdispersed count data sets. This distribution has bathtub shape and decreasing hazard rate function. Various statistical properties and simulation of the proposed distribution are obtained. The estimation of parameters have been handled by the method of maximum likelihood estimation. Finally, the proposed model has been fitted to …

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Chaos In New Polynomial Discrete Logistic Maps With Fractional Derivative And Applications For Text Encryption, Kalsouabe Zoukalne, Ahamat Mahamat Hassane, Mahamoud Youssouf Khayal, Paul Woafo Sep 2023

Chaos In New Polynomial Discrete Logistic Maps With Fractional Derivative And Applications For Text Encryption, Kalsouabe Zoukalne, Ahamat Mahamat Hassane, Mahamoud Youssouf Khayal, Paul Woafo

Applied Mathematics & Information Sciences

In this paper, we propose new polynomial discrete logistic equations based on the classical logistic map, which exhibit chaotic behavior as control parameters vary. We also explore versions with fractional derivatives. Using the chaotic sequence generated by these equations, we develop an encryption scheme for text. The scheme relies on initial conditions, control parameters, and a transformation of text characters into values between 0 and 1, followed by a transformation to discrete chaotic values for transmission

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Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi Sep 2023

Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi

Applied Mathematics & Information Sciences

This study uses historical data and modern statistical models to forecast future Gross Domestic Product (GDP) in Jordan. The Wavelet Transformation model (WT) and Autoregressive Integrated Moving Average (ARIMA) model were applied to the time series data and yielded a best-fitting result of (2,1,1) for estimating GDP between 2022-2031. The study concludes that GDP is expected to increase with a positive growth rate of around 3.22%, and recommends government agencies to monitor GDP, strengthen existing policies, and adopt necessary economic reforms to support growth. Additionally, the private sector is encouraged to enhance production tools to achieve economic growth that benefits …

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Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader Sep 2023

Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader

Applied Mathematics & Information Sciences

This paper proposes a novel hybrid framework for ECG signal classification and privacy preservation. The framework includes two phases: the first phase uses LSTM+CNN with attention gate for ECG classification, while the second phase utilizes adaptive least signal bit with neutrosophic for hiding important data during transmission. The proposed framework converts data into three sets of degrees (true, false, and intermediate) using neutrosophic and passes them to an embedding layer. In the sender part, the framework hides important data in ECG signal as true and false degrees, using the intermediate set as a shared dynamic key between sender and receiver. …

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Compatibility Of Clique Clustering Algorithm With Dimensionality Reduction, Ug ̆Ur Madran, Duygu Soyog ̆Lu Sep 2023

Compatibility Of Clique Clustering Algorithm With Dimensionality Reduction, Ug ̆Ur Madran, Duygu Soyog ̆Lu

Applied Mathematics & Information Sciences

In our previous work, we introduced a clustering algorithm based on clique formation. Cliques, the obtained clusters, are constructed by choosing the most dense complete subgraphs by using similarity values between instances. The clique algorithm successfully reduces the number of instances in a data set without substantially changing the accuracy rate. In this current work, we focused on reducing the number of features. For this purpose, the effect of the clique clustering algorithm on dimensionality reduction has been analyzed. We propose a novel algorithm for support vector machine classification by combining these two techniques and applying different strategies by differentiating …

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The Influence Of Supply Chain Management Strategies On Organizational Performance In Hospitality Industry, Omar Jawabreh, Abdullah Mahfoud Baadhem, Basel J. A. Ali, Anas Ahmad Bani Atta, Anis Ali, Fahmi Fadhl Al- Hosaini Sep 2023

The Influence Of Supply Chain Management Strategies On Organizational Performance In Hospitality Industry, Omar Jawabreh, Abdullah Mahfoud Baadhem, Basel J. A. Ali, Anas Ahmad Bani Atta, Anis Ali, Fahmi Fadhl Al- Hosaini

Applied Mathematics & Information Sciences

The studys primary goal is to analyze the connection between SCM practices and organizational performance, and it also aims to evaluate the moderating role of management type. Quantitative data collected from Jordans hotel and restaurant workers via questionnaire. Structural equation modeling is used to examine the hypothesized relationships. Organizational Performance is positively impacted by effective information sharing. Information Quality (IQ) positively affects Organizational Performance (OP), and Strategic Supplier Partnerships (SSP) play a crucial role. Customer Relationship Management (CRM) had no discernible effect on OP, according to the study. OP is positively impacted by Postponement (POS) techniques. When implemented, postponement increases …

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The Effect Of System Quality And User Quality Of Information Technology On Internal Audit Effectiveness In Jordan, And The Moderating Effect Of Management Support, Ahmad Yahiya Ahmad Bani Ahmad (Ayassrah), Anas Ahmad Mahmoud Bani Atta, Hanan Ali Alawawdeh, Nawaf Abdallah Aljundi, Amer Morshed, Saleh Amin Dahbour Sep 2023

The Effect Of System Quality And User Quality Of Information Technology On Internal Audit Effectiveness In Jordan, And The Moderating Effect Of Management Support, Ahmad Yahiya Ahmad Bani Ahmad (Ayassrah), Anas Ahmad Mahmoud Bani Atta, Hanan Ali Alawawdeh, Nawaf Abdallah Aljundi, Amer Morshed, Saleh Amin Dahbour

Applied Mathematics & Information Sciences

The goal of this study is to ascertain the moderating role that management support has in internal audit effectiveness in Jordan, as well as the impact of system quality and user quality of information technology. There were 172 responders in all, and they were split across Jordanian auditors. In the data analysis process, the quantitative analysis test— which consists of the validity test, reliability test, test of conventional assumptions, and hypothesis test—is applied. Information technology system and user quality are independent variables in this study. The dependent variable in this study is internal audit effectiveness, and the moderating variable is …

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Optimal Control Analysis Of The Dynamics Of Covid-19 With Application To Ethiopian Data, Temesgen Duresa Keno, Fekadu Mosisa Legesse, Ebisa Olana Bajira Sep 2023

Optimal Control Analysis Of The Dynamics Of Covid-19 With Application To Ethiopian Data, Temesgen Duresa Keno, Fekadu Mosisa Legesse, Ebisa Olana Bajira

Applied Mathematics & Information Sciences

In this paper, we proposed an optimal control of the COVID-19 transmission dynamics. First, we investigated system features such as solution boundedness, positivity, disease-free and endemic equilibrium, and the local and global stability of equilibrium points. Besides, a disease-free equilibrium point is globally asymptotically stable if the basic reproduction number is less than one, and an endemic equilibrium point exists otherwise. Secondly, we have shown the sensitivity analysis of the basic reproduction number. Also the model is then fitted using COVID-19 infected reported in Ethiopia from February 1,2023 to March 2,2023. The values of model parameters are then estimated from …

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Nexus Between Intellectual Capital And Financial Performance Sustainability: Evidence From Listed Jordanian Firms, Ali M. Alrabei, Leqaa N. Al-Othman, Thaer A. Abutaber, Mustafa S. Alathamneh, Tareq M. Almomani, Mohammed H. Qeshta Sep 2023

Nexus Between Intellectual Capital And Financial Performance Sustainability: Evidence From Listed Jordanian Firms, Ali M. Alrabei, Leqaa N. Al-Othman, Thaer A. Abutaber, Mustafa S. Alathamneh, Tareq M. Almomani, Mohammed H. Qeshta

Applied Mathematics & Information Sciences

Purpose: The authors observe the effect of exploring the reality of Intellectual Capital (IC) and its impact on the financial performance of Jordanian industrial firms in Amman Stock Exchange. This empirical research explores the effect of intellectual capital on financial performance using data from 36 Jordanian industrial firms listed in Amman Stock Exchange for the period 2016-2020. The Value-Added Intellectual coefficient (VAIC) was adopted to measure the intellectual capital, while the return on assets (ROA), return on equity (ROE), and earnings per share (EPS) were adopted as measures of the companys financial performance. The effect of IC was tested by …

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Assessing The Moderating Effect Of Innovation On The Relationship Between Information Technology And Supply Chain Management: An Empirical Examination, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa S. Mushtaha, Ghadeer M. Al-Anati, Mustafa Al-Shaikh Sep 2023

Assessing The Moderating Effect Of Innovation On The Relationship Between Information Technology And Supply Chain Management: An Empirical Examination, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa S. Mushtaha, Ghadeer M. Al-Anati, Mustafa Al-Shaikh

Applied Mathematics & Information Sciences

This study examines how innovation (INN) influences the relationship between supply chain management and information technology in Jordan. 211 employees of Jordanian industrial enterprises who work in the Operations Department provided information for the study, which examines this subject. The findings indicate a close connection between information technology and supply chain management. Innovation also dramatically modifies the interaction between supply chain management and information technology. Management help may be the subject of future research.

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The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh Sep 2023

The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh

Applied Mathematics & Information Sciences

The fluctuating and disorganized state of todays global markets is the result of several factors. COVID-19 is an illustration. Supply chain managers should re-evaluate their competitive strategy and leverage big data analytics in light of the rising volatility in demand and supply, rivalry among supply chain partners, and the requirement to deliver tailored goods and services (BDA). Supply chain firms require sophisticated BDA processes and procedures to provide useful insights from big data to better decision-making and supply chain operations, as many leaders in the sector have acknowledged the necessity for improving with data" (SCO). This research gives theoretical justification …

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The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane Sep 2023

The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane

Applied Mathematics & Information Sciences

This study analyzes residential attractiveness in small Moroccan cities using statistical models. Net migration rates are commonly used to assess attractiveness. The study estimated net migration rates for each city and employed a structural econometric model with logistic regression to identify influential variables that affect the net migration rate. These variables were then used in a predictive model with an artificial neural network algorithm. The logistic model revealed insights, highlighting the complexity of residential attractiveness influenced by factors like job supply, accessibility, and housing conditions. The artificial neural network model provided accurate predictions (over 80%), aiding policymakers in decision-making and …

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Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi Sep 2023

Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi

Applied Mathematics & Information Sciences

In this article, the performance of a series-parallel system is improved. The system components are assumed to follows independently and identically Lindley distributed with three parameters. The system reliability for the given system will be improved by using reduction method, hot, cold and imperfect duplication method. Some reliability measures are derived. Two types of reliability equivalence factors and gamma fractiles are calculated. A numerical example is introduced to explain the theoretical results.

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Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah Sep 2023

Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah

Applied Mathematics & Information Sciences

In this paper the constrained systems with two primary first class constraints are studied using fractional Lagrangian, after that we find the fractional Hamiltonian and the corresponding Hamilton Jacobi equation. Using separation of variables technique, we can find the action function S this function helps us to formulate the wave function which describe the behavior of our systems also from the action function S we can find the equations of motion and the corresponding momenta in fractional form. This work is illustrated using one example.

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Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan Sep 2023

Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan

Applied Mathematics & Information Sciences

In this paper, a new analytical method called the ARA-Residual power series method (ARA- RPSM) is implemented to solve some fractional physical equations. The methodology of the proposed method based on applying the ARA-transform to the given fractional differential equations, followed by the creation of approximate series solutions using Taylor’s expansion. Then the series solution is transformed using the inverse of the ARA-transform to get the solution in the original space. Accuracy, effectiveness, and validity of the suggested method are demonstrated through the discussion of three attractive applications. The solution obtained using ARA-RPSM demonstrates good agreement when compared to the …

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Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig Sep 2023

Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig

Applied Mathematics & Information Sciences

In this paper, we introduce a new generalization of Renyis entropy β(P) and the most important feature of this generalized entropy Rαβ (P) is that it derives most important entropies that are well known and influence information theory and applied mathematics. Some significant properties of Rαβ (P) has been undertaken in this article. In addition, we introduce a new generalized exponentiated mean codeword length Lβα (P) in this article then determine how Rβα (P) and Lβα (P) are related in terms of source coding theorem.

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Assessing Critical Population Thresholds Under Periodic Disturbances, Azmy S. Ackleh, Amy Veprauskas, John Banks, John Stark Sep 2023

Assessing Critical Population Thresholds Under Periodic Disturbances, Azmy S. Ackleh, Amy Veprauskas, John Banks, John Stark

UROC Staff Publications and Presentations

Population responses to repeated environmental or anthropogenic disturbances depend on complicated interactions between the disturbance regime, population structure, and differential stage susceptibility. Using a matrix modeling approach, we develop a methodological framework to explore how the interplay of these factors impacts critical population thresholds. To illustrate the wide applicability of this approach, we present two case studies pertaining to agroecosystems and conservation science. We apply sensitivity analysis to the two case studies to examine how population and disturbance properties affect these thresholds. Contrasting outcomes between these two applications, including differences in how factors such as disturbance intensity and pre-disturbance population …

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Asynchronous Fdrl-Based Low-Latency Computation Offloading For Integrated Terrestrial And Non-Terrestrial Power Iot, Sifeng Li, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Shahid Mumtaz, Mohsen Guizani, Valerio Frascolla Sep 2023

Asynchronous Fdrl-Based Low-Latency Computation Offloading For Integrated Terrestrial And Non-Terrestrial Power Iot, Sifeng Li, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Shahid Mumtaz, Mohsen Guizani, Valerio Frascolla

Machine Learning Faculty Publications

Integrated terrestrial and non-terrestrial power internet of things (IPIoT) has emerged as a paradigm shift to three-dimensional vertical communication networks for power systems in the 6G era. Computation offloading plays key roles in enabling real-time data processing and analysis for electric services. However, computation offloading in IPIoT still faces challenges of coupling between task offloading and computation resource allocation, resource heterogeneity and dynamics, and degraded model training caused by electromagnetic interference (EMI). In this article, we propose an asynchronous federated deep reinforcement learning (AFDRL)-based computation offloading framework for IPIoT, where models are uploaded asynchronously for federated averaging to relieve network …

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2023-2024 Collin College Catalog, Collin College Sep 2023

2023-2024 Collin College Catalog, Collin College

Course Catalogs

Contains information on courses and class descriptions as well as campus resources at Collin College.

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The Level Of Efficiency Comparison Of Indirect Hypothesis Testing And The Total Effect Of Bootstrap And Jackknife Resampling Based On Path Analysis (Studies On Srd And Firm Value Determination Models), S. Farisyi, M. Al Musadieq, H. N. Utami, C. R. Damayanti, Solimun Sep 2023

The Level Of Efficiency Comparison Of Indirect Hypothesis Testing And The Total Effect Of Bootstrap And Jackknife Resampling Based On Path Analysis (Studies On Srd And Firm Value Determination Models), S. Farisyi, M. Al Musadieq, H. N. Utami, C. R. Damayanti, Solimun

Journal of Statistics Applications & Probability

The main of objective study is to find out and analyze the direct impact of Corporate Governance Structure, Corporate Posture, Board Qualification & Experience, Sustainability Reporting Regulations on Sustainability Reporting Disclosure, and Firm Value. Secondary data was taken from the Companys Annual Report and Sustainability Reporting from 2013-2020. Path Analysis based on Jackknife and Bootstrap resampling was carried out to find the best coefficient. The results prove that Corporate Governance Structure, Board Qualification & Experience, and Sustainability Reporting Regulations have a significant effect on Sustainability Reporting Disclosure, but Corporate Posture does not have a significant effect on Sustainability Reporting Disclosure. …

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Investigating Risk Within South African Financial Markets Using Extreme Value Mixture Models, Kimera Naradh, Knowledge Chinhamu, Retius Chifurira Sep 2023

Investigating Risk Within South African Financial Markets Using Extreme Value Mixture Models, Kimera Naradh, Knowledge Chinhamu, Retius Chifurira

Journal of Statistics Applications & Probability

In the past decade, analysts, statisticians and researchers have become more interested in the research and applications of extreme value mixture models in the stock market and insurance as well as medical industries. This study aims to evaluate the fit of two extreme value mixture models namely GPD-Normal-GPD (GNG) and GPD-KDE-GPD (GKG), where KDE represents the Kernel density estimator, for three FTSE/JSE indices namely All Share Index (ALSI), Banks Index and Mining Index and the USD/ZAR currency exchange rate. Value at Risk (VaR) assesses market risk and many financial corporations often seek reliable VaR estimates. VaR estimates and the Kupiec …

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Power Rayleigh Distribution For Fitting Total Deaths Of Covid-19 In Egypt, N. M. Kilany, Mohamed A. W. Mahmoud, Lobna H. El-Refai Sep 2023

Power Rayleigh Distribution For Fitting Total Deaths Of Covid-19 In Egypt, N. M. Kilany, Mohamed A. W. Mahmoud, Lobna H. El-Refai

Journal of Statistics Applications & Probability

The Rayleigh distribution incorporate the lifetime of an object or a service time. In this paper, a new model, called, Power Rayleigh distribution (PR) is submitted for specifying the confirmed total deaths of Corona virus (Covid-19) in Egypt. Statistical and reliability properties of the PR distribution such as survival function, failure rate function, mean residual life, order statistic and extreme value distribution are deduced and studied. Maximum likelihood method is used to evaluate the unknown parameters. Simulation Schemes are introduced. Finally, two sets of real-life data are construed and observed that the new model can provide a best fit to …

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Variables Affecting The Mothers Access To Quality Care During Childbirth Using The Neural Networks And Logistic Regression Models, H. E. Semary, I. M. Abd El-Fatah, S. E. El-Desouky, M. M. El-Madawye Sep 2023

Variables Affecting The Mothers Access To Quality Care During Childbirth Using The Neural Networks And Logistic Regression Models, H. E. Semary, I. M. Abd El-Fatah, S. E. El-Desouky, M. M. El-Madawye

Journal of Statistics Applications & Probability

Quality pregnancy and birth care is crucial in reducing maternal and child mortality in Egypt, requiring both supply and demand interventions. Using data from the Egypt Demographic Health Survey 2014, a neural networks and logistic regression models were built to determine demographic, social, and economic determinants affecting mothers access to care during childbirth. The study found that mothers working status had a significant impact on access to care, with an inverse relationship. Logistic regression outperformed neural networks in analyzing the relationship between explanatory variables and mothers access to care during childbirth.

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