A Detailed Study of ABC-Type Fractal–Fractional Dynamical Model of HIV/AIDS by Mansour A. Abdulwasaa, Esam Y. Salah, Mohammed S. Abdo, Bhausaheb Sontakke, Sahar Ahmed Idris, Mohammed Amood Al-Kamarany

“…First, we collect and analyze statistical data for epidemiological surveillance of HIV/AIDS prevalence in Yemen from 2000 to 2022. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
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A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

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Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing by Ilya Burtakov, Arseny Poyda, Aleksey Kureev, Evgeny Khorov

“…However, these random configurations result in low RIS channel gains during the adjustment process, which hinders data transmission. This paper addresses this issue and proposes a statistical RIS adjustment algorithm using Markov Chain Monte Carlo and Simulated Annealing (MCMC-SA). …”
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Radiative heat and mass transfer significance through a permeable vertical plate with rotational effects: An artificial approach using the Levenberg–Marquardt algorithm by R. Kavitha, Kavikumar Jacob, Ahmad Haji Zadeh, Nagarajan Deivanayagampillai

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Procedure for finding an integral indicator of regional social development by L. A. Tretyakova, E. V. Lisova

“…It is proposed to use the statistical collection «Regions of Russia, socio–economic indicators» as a source of information. …”
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Neutrosophic Inverse Gaussian Distribution in Economic Policy Design under Indeterminacy by Ahmedia Musa M. Ibrahim, Zahid Khan

“…The inherent uncertainty is difficult to incorporate into traditional statistical models. To overcome the limitation of classical inverse Gaussian (IG) distribution for managing the imprecise data, we examine the structure of neutrosophic inverse Gaussian distribution (NIGD) which is an expansion of the classical IG distribution under neutrosophic framework. …”
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THE CONSTRUCTION OF THE LORENZ CURVE AND ESTIMATION OF INDICATORS OF DIFFERENTIATION OF MONETARY INCOMES OF POPULATION BASED ON EXPONENTIAL DISTRIBUTION by V. Lebedev, K. Lebedev

“…For a quantitative estimation of the parameters of the distribution function numerical methods of solving the problem of minimization of different criteria of the proximity of theoretical curve and statistical data were used.…”
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Plazless method of design preparation for the production of general aviation aircraft by Iurii Vorobiov, Andriy Humennyi, Oleksiy Bogach

“…The scientific and practical novelty of the obtained results is as follows: a set of aircraft design engineering documents developed based on statistical data analysis and numerical modeling will allow manufacturing, testing the aircraft, and obtaining a certificate of airworthiness, which, in turn, will make it possible to subsequently begin serial production of the aircraft and create full-fledged primary flight training classes designed to improve flight training activities for cadets of higher military educational institutions and create opportunities for training civilian pilots.…”
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A New Hybrid Class of Distributions: Model Characteristics and Stress–Strength Reliability Studies by Mustapha Muhammad, Jinsen Xiao, Badamasi Abba, Isyaku Muhammad, Refka Ghodhbani

“…Furthermore, we compute advanced information measures, such as extropy and cumulative residual entropy, and derive order statistics along with their asymptotic behaviors. Model identifiability is demonstrated numerically using the Kullback–Leibler divergence. …”
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A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS by Latifa Khairunnisa, Admi Nazra, Izzati Rahmi HG

“…In statistics, the correlation coefficient concept aims to show how strong the linear relationship between two variables is. …”
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Two-steps variance calibrated estimators with linear and non-linear constraints for mailed surveys with non-response by Ahmed Audu, Maggie Aphane

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Improved methods for estimation in repeated surveys: Combining time series and calibration by Dalius Pumputis

“…Calibration further enhances estimation by adjusting estimators with auxiliary data, reducing variance, and improving precision. …”
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Forecasting financial services of a call center’s inbound volumes: A case study by Ahm Shamsuzzoha, Joonas Viitanen, Sujan Piya, Mohammad Khadem, Mohammad Shamsuzzaman

“…Quantitative methods’ reliance on numerical data and statistical techniques ensures accuracy, reliability, and the ability to generalize findings. …”
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Modeling and control of global warming driven by transportation-induced carbon dioxide emissions through green economy investments by Pita M. Donald, Daudi N. Salamida, Paul A. Panga, Maranya M. Mayengo

“…Model validation against global data demonstrates excellent predictive performance, as confirmed by statistical metrics. …”
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BOOTSTRAP METHODS FOR INVESTIGATING THE ROCK MASS ZONAL FRACTURE AROUND UNDERGROUND WORKINGS by A. S. Losev

“…The primary tool used is numerical resampling methods, namely randomization, bootstrap, and Monte Carlo methods, which allow increasing the sample size, according to the available field data, to the required size for conducting a statistically sound analysis.Results. …”
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Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

“…The construction of the models is based on the statistical analysis of some sets of chemical structures of definite classes with known property values. …”
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Cloud Service for Interactive Simulation of Interregional Trade by A. S. Velichko, V. V. Gribova, L. A. Fedorishchev

“…The paper demonstrates the use of software for the simulation of inter-regional freight traffic of the Russian Far East region based on input data provided by open statistics sources.…”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…The main advantage of using phantoms is complete control over the set pore space parameters and X-ray density of the skeleton, which cannot be achieved on real samples.A computational experiment was conducted in the work, where 124 core phantoms with specific porosity characteristics were generated using numerical modeling. These phantoms were then converted into tomograms, allowing us to determine statistical characteristics of the values for X-ray densities of the samples at the reconstruction stage.Based on the statistical analysis of the X-ray density distribution in the sample, we determined the boundary values that are most suitable for reliable void space detection. …”
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Time series forecasting of infant mortality rate in India using Bayesian ARIMA models by Anuj Singh, Tripti Tripathi, Rakesh Ranjan, Abhay K. Tiwari

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