Analysis and forecasting of the dynamics of the gross domestic product per capita by purchasing power parity in Russia by M. O. Govallo, D. D. Lobanova, L. A. Davletshina

“…The characteristic and description of the mathematical and statistical models used are given. The reasons for choosing the model are determined and justified. …”
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A Three-Component Model Based on Macropropagation Phenomena Approach for Complex Building Scattering by Mehdi Ait-Ighil, Fernando Perez-Fontan, Joel Lemorton, Frederic Lacoste, Christophe Bourga, Michel Bousquet

“…The actual trend in propagation channel modelling is to improve the multipath characterisation and representation by using semideterministic and hybrid physical-statistical models into channel simulators instead of narrow-band empirical approaches. …”
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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…In the initial days, the problems with financial analysis and prediction were solved by statistical models and methods. For the last two decades, a large number of Artificial Neural Networks based learning models have been proposed to solve the problems of financial data and get accurate results in prediction of the future trends and prices. …”
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Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model by Rushdi Alsaleh, Kawal Walia, Ghoncheh Moshiri, Yasmeen T. Alsaleh

“…Drawing from a comprehensive dataset from the Virginia Department of Transportation, encompassing over 500,000 data points, this study utilizes two statistical models. Specifically, it utilizes Multinomial Logistic Regression and Multi-Level (Mixed Effect) Multinomial Logistic Regression, which accounts for group-level heterogeneity, to explore the intricate interplay between various factors and collision severity outcomes. …”
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Turbulence Modeling of Torsional Couette Flows by Sofia Haddadi, Sébastien Poncet

“…Extensive numerical predictions based on one-point statistical modeling using a low Reynolds number second-order full stress transport closure (RSM model) are performed mainly in the case of turbulent flows with merged boundary layers known as turbulent torsional Couette flows and belonging to regime III of Daily and Nece (1960). …”
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An Information Geometric Perspective on the Complexity of Macroscopic Predictions Arising from Incomplete Information by Sean Alan Ali, Carlo Cafaro, Steven Gassner, Adom Giffin

“…Motivated by the presence of deep connections among dynamical equations, experimental data, physical systems, and statistical modeling, we report on a series of findings uncovered by the authors and collaborators during the last decade within the framework of the so-called Information Geometric Approach to Chaos (IGAC). …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…We examined its statistical properties, such as moments, mean time to failure, mean residual life, Rényi entropy, and order statistics. Model parameters, along with survival and hazard functions, were estimated by utilizing maximum likelihood estimators and two types of bootstrap confidence intervals. …”
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Economic and Sensitivity Analyses of Controllable Queues With Customer Feedback and Impatience Using Markovian Modeling by Shreekant Varshney, Mankumar Acharya, Zala Jenishkumar Kanjibhai, Mukesh Pushkarna, Walid El-Shafai, Ievgen Zaitsev

“…In comparison to conventional models, this approach combines customer impatience, feedback procedure, and working vacation into the statistical modeling of queues in a novel manner. These aspects contain enormous potential for practical applications but require additional evaluation from an operational or customer service perspective through dynamic investigation. …”
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Association Between Deforestation and the Incidence of Snakebites in South Korea by Seoheui Lee, Junyeong Lee, Kyung-Duk Min

“…Additional covariates included altitude, average temperature, population size, proportion of urban land cover, proportion of agricultural land cover, and level of ecological preservation. Twelve statistical models were employed to assess the association between deforestation and snakebite incidence. …”
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Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS) by Luciana Quaranta, Hilde Leikny Sommerseth

“…Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. …”
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A new statistical approach with simulation study: Its implementations in management sciences and reliability by Zhidong Liang

“…This awareness has inspired researchers to develop new statistical models, resulting in a range of methodologies. …”
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Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS) by Luciana Quaranta, Hilde Leikny Sommerseth

“…Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. …”
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Focal Treatment of Prostate Cancer with Vascular-Targeted Photodynamic Therapy by Scott E. Eggener, Jonathan A. Coleman

“…Contemporary diagnostic biopsy strategies and imaging tools, and the development of predictive statistical models (nomograms), have led to improvements in tumor characterization and risk stratification, making focal therapy a viable treatment option for specific men. …”
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GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia by Abinet Addis

“…A GIS-based study has been carried out to map areas landslide susceptibility using both frequency ratio (FR) and Shannon entropy (SE) bivariate statistical models. A total of 270 landslides were identified and classified randomly into training landslides datasets (70%) and the remaining (30%) of landslides datasets were used for validation purpose. …”
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A New Truncated Muth Generated Family of Distributions with Applications by Abdullah M. Almarashi, Farrukh Jamal, Christophe Chesneau, Mohammed Elgarhy

“…In recent years, the Muth distribution has been used for the construction of accurate statistical models, with applications in various applied fields. …”
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A systematic scoping review reveals that geographic and taxonomic patterns influence the scientific and societal interest in urban soil microbial diversity by Simon Masson, Matteo Chialva, Davide Bongiovanni, Martino Adamo, Irene Stefanini, Luisa Lanfranco

“…By coupling bibliometrics with statistical modelling we found that soil microbial traits such as biomass and respiration and omics techniques attract the interest of the scientific community while multi-taxa and time-course studies appeal more to the general public.…”
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Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation by Luigi Bruno, Paolo Addesso, Rocco Restaino

“…It is based on a Sequential Monte Carlo realization of the optimal Bayesian estimation scheme, whose functioning is improved by exploiting the Rao-Blackwellization rationale. Two key statistical models for RSS characterization are deeply analyzed, by presenting effective implementations of the proposed scheme and by assessing the positioning accuracy by extensive computer experiments. …”
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Unsupervised machine and deep learning methods for structural damage detection: A comparative study by Zilong Wang, Young‐Jin Cha

“…The key concept behind unsupervised novelty detection in this article is that only normal data from undamaged/baseline structural scenarios are required to train statistical models with these methods. Then, these trained models are used to identify abnormal testing data from damaged scenarios. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…However, traditional statistical models and prediction methods based on historical data exhibit many limitations when dealing with complex, dynamic, and nonlinear traffic flow data. …”
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Modeling sickness absence data: A scoping review. by Tom Duchemin, Mounia N Hocine

“…We followed the PRISMA methodology for scoping reviews and searched Medline, World of Science, Science Direct, Psycinfo and EconLit for publications using statistical modeling for explaining or predicting sick leave at the individual level. …”
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