Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method by Sorasutee Buapool, Nandh Thavarungkul, Nakorn Srisukhumbowornchai, Preecha Termsuksawad

“…Statistical modeling of the dip-spin coating process to describe colloidal PTFE dispersion coating on the external surface of a small diameter hollow tube was developed by using 24 factorial design with a center point to predict the coating thickness in a range of 4–10 μm. …”
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Cash Management and Financial Performance of Business Firms in Northern Uganda a Case of Lira District by Eton, Marus, Gilbert, Uwonda, Fabian, Mwosi, Benard, Patrick Ogwel, Dennis, Obote

“…There is also need for business owners to consider hiring business experts who can use different statistical models to forecast business performance.…”
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De utryghedsmæssige konsekvenser af udsathed for kriminalitet i Danmark by Rune H. Scherg, Anders Ejrnæs

“…Abstract This article examines the consequences of victimisation in relation to feeling of safety in Denmark.2 Using various statistical models, we address two general questions: First, how do different victimisation patterns affect victims’ feelings of safety, and second, how do victims’ demographic characteristics modify the consequences of victimisation in relation to feelings of safety. …”
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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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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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Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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Flexible and modular latent transition analysis-A tutorial using R. by Lisbeth Lund, Christian Ritz

“…Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. …”
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Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets into Markov Model by Mohammed M. El Genidy, Mokhtar S. Beheary

“…On the contrary, in renewable energy applications, statistical modeling and forecasting the solar radiation remains a significant issue with detect to reinforce power management. …”
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Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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Critical spin chains and loop models with $PSU(n)$ symmetry by Paul Roux, Jesper Lykke Jacobsen, Sylvain Ribault, Hubert Saleur

“…Starting with the Ising model, statistical models with global symmetries provide fruitful approaches to interesting physical systems, for example percolation or polymers. …”
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Sublinear Expectation Nonlinear Regression for the Financial Risk Measurement and Management by Yunquan Song, Lu Lin

“…Under the nonlinear expectation framework, however, the related statistical models and statistical inferences have not yet been well established. …”
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Wideband and Ultrawideband Channel Models in Working Machine Environment by Attaphongse Taparugssanagorn, Matti Hämäläinen, Jari Iinatti

“…We present statistical models for wideband and ultrawideband (UWB) radio channels in a working machine cabin environment. …”
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Potential Use of Industrial Cocoa Waste in Biofuel Production by C. J. Mendoza-Meneses, A. A. Feregrino-Pérez, C. Gutiérrez-Antonio

“…In addition, the future trends indicate the relevance of using catalysts in production to increase reactions in the conversion of compounds, including the use of statistical models to optimize the processing variables.…”
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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. …”
Get full text

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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