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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Model-Independent 3D Descriptors of Vertebral Cancellous Bone Architecture by Ian H. Parkinson, Danielle Forbes, Peter Sutton-Smith, Nicola L. Fazzalari

“…The addition of connectivity density, trabecular separation, and structural model index, in a multiple regression statistical model, improves the explanatory power to 77%. …”
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Education as a key determinant of health: A case study from rural Anhui, China by Adam Mursal, Weizhen Dong

“…Predictor variables included in the statistical model were major social determinants of health (education, income, sex, age, occupation, as well as health behaviours related to smoking, drinking, and exercise).  …”
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Numbers of environmental injustice: The measurement of impunity in Mexico by Juan Antonio Le Clercq, Celeste Cedillo

“…We focus on the importance of measuring degrees of environmental impunity to operationalize environmental justice problems; we discuss the scope of the concept of environmental impunity; we explain the methodological design of its four dimensions, its forty-two indicators, and the statistical model of the Index; and we analyze its aggregate results. …”
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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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SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos by Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang

“…Our solution is based on a new statistical model where the future streaming performance is directly related to the past bandwidth statistics. …”
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Chronological Classification of Ancient Mortars Employing Spectroscopy and Spectrometry Techniques: Sagunto (Valencia, Spain) Case by M. Ramacciotti, S. Rubio, G. Gallello, M. Lezzerini, S. Columbu, E. Hernandez, A. Morales-Rubio, A. Pastor, M. de la Guardia

“…REE permitted to ascribe most of the masonries to the Roman Imperial period. Moreover, a statistical model was built by employing partial least squares discriminant analysis (PLS-DA) in order to classify the mortars from Roman Imperial period and from Islamic period due to the problematic overlapping between these two phases. …”
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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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The Effect Of Servıce Qualıty On The Satısfactıon Level: A Case Study In Mersın Provınce by Yusuf Er

“…In addition to descriptive statistical models, t-test and Anova analysis methods were used in the statistical analysis of data (α = 0.05). …”
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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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DeepWei-Cu: A Deep Weibull Network for Cure Fraction Models by Ola Abuelamayem

“…The analysis can be performed using traditional statistical models or neural networks. Recently, neural network has attracted attention in analyzing lifetime data due to its ability of efficiently estimating the survival function under the existence of complex covariates. …”
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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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The determinants of consumption poverty in Fitche Town of Oromia Regional State, Ethiopia by Getachew M. Kumssa

“…Likewise, 372 sampled households were selected out of the 5300 total households of the selected kebeles through a stratified simple random sampling technique. Using the statistical model developed by Foster, Greer and Thorbecke, results of the study reveals that 22.4 percent of sample households fall below the poverty line. …”
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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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