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Frontiers in Applied Mathematics and Statistics
Scopus
ISSN 2297-4687 · Frontiers Media S.A. · 987 artikel di indeks
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Artikel Jurnal
Analysis of a mathematical model of human papillomavirus transmission dynamics with optimal control for cervical cancer prevention
This study presents a mathematical model that explains the transmission dynamics of high-risk Human Papillomavirus (HPV) and how it progresses to cervical cancer. The model particularly includes a population group for Cervical Intraepithelial Neoplasia (CIN), which is a critical precancerous stage…
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Fuzzy decision-tree regression model and its application to measure some climate change factors
In this paper, we considered a new study that examines the topic of climate change based on data from two important variables: temperature and wind speed. The study aims to employ a decision-making method based on fuzzy logic to overcome the issue of ambiguity and uncertainty. Our proposed idea in…
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Deep learning-based pairs trading: real-time forecasting of co-integrated cryptocurrency pairs
Statistical arbitrage strategies, including pairs trading, rely on identifying co-movements and static long-term equilibrium relationships between assets, where conventional methods fail to capture non-stationary dynamics, hence reducing trading effectiveness. This study, therefore, addresses this…
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Economic factors affecting life expectancy in G7 countries: a panel data perspective
IntroductionThis study aims to examine the relationships between life expectancy at birth (years) and gross domestic product per capita, gross national income per capita, and trade openness via panel data analysis. The focus on G7 countries, recognized as the world’s most developed and leading…
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Improving parameters estimation of a truncated Poisson regression model based on meta-heuristic optimization algorithms
The paper discusses computational and numerical challenges that are associated with the truncation of the information and which change the usual Poisson likelihood by the introduction of black kite optimization algorithm. Real data is used to demonstrate a significant improvement in healthcare and…
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Enhanced state-space estimation of long-memory commodity volatility using the Unscented Kalman Filter and variational Bayes method for non-linear modeling
This study addresses the limitations of the Kalman Filter (KF) by extending the application of the Unscented Kalman Filter (UKF) and the variational Bayes method (VBM) for estimating long-memory (LM) volatility models. Our methodology formulated the Fractionally Integrated Generalized…
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Extending the Kumaraswamy distribution: properties and applications
In this study, we propose a new extension of the Kumaraswamy distribution, termed the PNJKumaraswamy Distribution, developed using the PNJ transformation technique. The PNJKumaraswamy distribution provides enhanced flexibility compared to several existing generalizations of the Kumaraswamy model…
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Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach
The collapse of healthcare systems poses a serious threat to hospital environments, increasing the spread of nosocomial infections. Limited resources, overcrowding, and weakened infection control measures allow harmful pathogens to persist on surfaces, medical equipment, and in the air…
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Multivariate intrinsic local polynomial regression on isometric Riemannian manifolds. Applications to symmetric positive data
IntroductionWe extend intrinsic local polynomial regression (ILPR) to multivariate covariates on arbitrary Riemannian manifolds, providing a general framework to study the action of isometric maps on manifold-valued regression estimators.MethodsWe derive a closed-form expression for the ILPR…
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Further aspects of information-generating function of order statistics with health application in symmetry of chronic disease management
This investigation aimed to explore novel theoretical aspects and applications of the information-generating function measure for order statistics. We developed fundamental properties and established stochastic ordering relationships based on this information-theoretic measure. Our analysis…
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Analysis of the duration measurement of Jordanian debt as an effective hedging risk tool
This study evaluates the duration of Jordanian public debt as an instrument for hedging interest rate risk over the period 2008–2020. It provides an analytical examination of public debt concepts and emphasizes the relevance of debt duration as a measure of maturity structure and interest rate…
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Monotone delta: an order-theoretic tournament graph approach for internal consistency assessment
This paper introduces Monotone Delta (δ), an order-theoretic measure for assessing the internal consistency of survey-based instruments. Classical coefficients such as Cronbach's Alpha and McDonald's Omega can yield misleading estimates under practical violations, including redundancy…
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Optimization of biodiesel synthesis using ultrasound and mechanical stirring methods: a comparative study
Mechanical stirring (MS) and ultrasound (US) frequency are two key factors commonly used to reduce mass-transfer resistance during the reaction between methanol (MeOH) and triglycerides (TG), facilitating the efficient production of biodiesel (BD) from various feedstocks such as rapeseed oil and…
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Multiple testing procedures under positive dependency with block structure
The classical Benjamini–Hochberg (B-H) method, widely used across various disciplines such as genetics, epidemiology, and social sciences, serves as an established procedure for controlling the false discovery rate (FDR) in multiple comparison scenarios. The B-H method assumes independence among…
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Flexibility-oriented robust optimization planning for electro-hydrogen energy storage in high-renewable grids
The large-scale integration of renewable energy sources poses significant challenges to grid stability due to inherent intermittency and volatility. This paper presents a novel robust optimization framework for planning electro-hydrogen energy storage systems (EHESS) that differs from traditional…
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On estimating phenomenological model states for epileptic seizure prediction
The prediction of epileptic seizure, like the disease itself, is a very old but largely unresolved problem. The prediction may greatly improve the quality of life for an epileptic patient. A low-cost measurement like an Electroencephalogram (EEG) involves the non-invasive monitoring of the brain…
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Asymptotic properties for self-weighted M-estimation of MEM
IntroductionIn the context of non-negative high-frequency financial time series, the multiplicative error model (MEM) is a generalized model. Maximum Likelihood Estimation (MLE) serves as the standard approach for parameter estimation when applying MEM to real-world modeling. This method relies on…
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Basically tau-equivalent confirmatory factor analysis considering item particularities
We propose a basically tau-equivalent measurement model for confirmatory factor analysis that differs from the original tau-equivalent measurement model through the replacement of strict tau equivalence by basic tau equivalence, enabling the accounting of item particularities. Considered in the…
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Spiral waves and turbulence in mathematical models of oncolytic virotherapy induced by Hopf bifurcation
Oncolytic virotherapy is a promising targeted cancer treatment that employs viruses, which selectively infect tumor cells. Although its clinical efficiency has remained limited and it is often used in conjunction with other therapies, advances in genetic engineering have produced stronger and more…
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On classes of non-univalent functions influenced by the multiplicative derivative
In this article, we extend studies on the class of starlike functions, motivated by the definition of the multiplicative derivative. In this direction, we define a new class by combining characterizations of starlike functions and a recently studied subclass of analytic functions. Furthermore, we…