Relevant bibliographies by topics / Correlation-regression models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Correlation-regression models'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Correlation-regression models"

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F.E., Gulmurodov. "Forecasting of Tourism Processes in Uzbekistan in Correlation Regression Models." International Journal of Multidisciplinary Research and Analysis 04, no. 11 (2021): 1748–56. https://doi.org/10.47191/ijmra/v4-i11-43.

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The article provides detailed information on the process of developing effective plans for the development of the tourism industry and choosing the optimal one based on them, forecasting the future development of the industry. It also considers the processes of using special computational and arithmetic methods that allow predicting the events and happenings in the tourism industry, to determine the regression function as a result of the interaction and interaction of indicators representing the type of activity. As a result of targeted research, using correlation-regression models, a forecast
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Peng, Jie, Pei Wang, Nengfeng Zhou, and Ji Zhu. "Partial Correlation Estimation by Joint Sparse Regression Models." Journal of the American Statistical Association 104, no. 486 (2009): 735–46. http://dx.doi.org/10.1198/jasa.2009.0126.

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Kyriazidou, Ekaterini. "Testing for serial correlation in multivariate regression models." Journal of Econometrics 86, no. 2 (1998): 193–220. http://dx.doi.org/10.1016/s0304-4076(97)00114-0.

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Shkola, Ihor, and Oksana Petraschak. "THE CORRELATION-REGRESSION MODELS USAGE AS A WAY TO INCREASE OF LABOR PRODUCTIVITY." MEST Journal 2, no. 1 (2014): 1–6. http://dx.doi.org/10.12709/mest.02.02.01.01.

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Kozyra, Cyprian. "Correlation and regression models in the Dyadic Data Analysis." Śląski Przegląd Statystyczny 18, no. 24 (2020): 263–67. http://dx.doi.org/10.15611/sps.2020.18.17.

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Baltagi, Badi H., Seuck Heun Song, and Won Koh. "Testing panel data regression models with spatial error correlation." Journal of Econometrics 117, no. 1 (2003): 123–50. http://dx.doi.org/10.1016/s0304-4076(03)00120-9.

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Jea, Rong, Jin-Lung Lin, and Chao-Ton Su. "Correlation and the time interval in multiple regression models." European Journal of Operational Research 162, no. 2 (2005): 433–41. http://dx.doi.org/10.1016/j.ejor.2003.07.020.

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Anderson, T. W. "Canonical correlation analysis and reduced rank regression in autoregressive models." Annals of Statistics 30, no. 4 (2002): 1134–54. http://dx.doi.org/10.1214/aos/1031689020.

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Koop, Gary, and Dale J. Poirier. "Learning about the across-regime correlation in switching regression models." Journal of Econometrics 78, no. 2 (1997): 217–27. http://dx.doi.org/10.1016/s0304-4076(96)00009-7.

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Koop, Gary, and Dale J. Poirier. "Learning about the across-regime correlation in switching regression models." Journal of Econometrics 78, no. 1 (1997): 217–27. http://dx.doi.org/10.1016/s0304-4076(97)80011-5.

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Dissertations / Theses on the topic "Correlation-regression models"

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Ledolter, Johannes. "Multi-Unit Longitudinal Models with Random Coefficients and Patterned Correlation Structure: Modelling Issues." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/432/1/document.pdf.

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The class of models which is studied in this paper, multi-unit longitudinal models, combines both the cross-sectional and the longitudinal aspects of observations. Many empirical investigations involve the analysis of data structures that are both cross-sectional (observations are taken on several units at a specific time period or at a specific location) and longitudinal (observations on the same unit are taken over time or space). Multi-unit longitudinal data structures arise in economics and business where panels of subjects are studied over time, biostatistics where groups of patients on d
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Apanasovich, Tatiyana Vladimirovna. "Testing for spatial correlation and semiparametric spatial modeling of binary outcomes with application to aberrant crypt foci in colon carcinogenesis experiments." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/2674.

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In an experiment to understand colon carcinogenesis, all animals were exposed to a carcinogen while half the animals were also exposed to radiation. Spatially, we measured the existence of aberrant crypt foci (ACF), namely morphologically changed colonic crypts that are known to be precursors of colon cancer development. The biological question of interest is whether the locations of these ACFs are spatially correlated: if so, this indicates that damage to the colon due to carcinogens and radiation is localized. Statistically, the data take the form of binary outcomes (corresponding to the exi
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Costa, Julio C. "Analysis and optimization of empirical path loss models and shadowing effects for the Tampa Bay area in the 2.6 GHz band." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002547.

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Baldi, Rey Fernando Sebastián [UNESP]. "Estimação de parâmetros genéticos para características de crescimento em bovinos da raça Canchim com modelos de dimensão finita e infinita." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/102790.

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Made available in DSpace on 2014-06-11T19:32:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-09-26Bitstream added on 2014-06-13T20:03:29Z : No. of bitstreams: 1 baldirey_fs_dr_jabo.pdf: 751142 bytes, checksum: 4a3bdaf84424f12abb37e90cff761fdc (MD5)<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>Foram estimados parâmetros genéticos para pesos do nascimento à idade adulta de animais da raça Canchim por meio de análises uni, bi e multicaracterística, e por modelos de regressão aleatória. Os dados analisados são provenientes do rebanho da raça Canchim da Embrapa Pe
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Zaldivar, Cynthia. "On the Performance of some Poisson Ridge Regression Estimators." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3669.

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Multiple regression models play an important role in analyzing and making predictions about data. Prediction accuracy becomes lower when two or more explanatory variables in the model are highly correlated. One solution is to use ridge regression. The purpose of this thesis is to study the performance of available ridge regression estimators for Poisson regression models in the presence of moderately to highly correlated variables. As performance criteria, we use mean square error (MSE), mean absolute percentage error (MAPE), and percentage of times the maximum likelihood (ML) estimator produc
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Baldi, Rey Fernando Sebastián. "Estimação de parâmetros genéticos para características de crescimento em bovinos da raça Canchim com modelos de dimensão finita e infinita /." Jaboticabal : [s.n.], 2008. http://hdl.handle.net/11449/102790.

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Resumo: Foram estimados parâmetros genéticos para pesos do nascimento à idade adulta de animais da raça Canchim por meio de análises uni, bi e multicaracterística, e por modelos de regressão aleatória. Os dados analisados são provenientes do rebanho da raça Canchim da Embrapa Pecuária Sudeste, localizada no município de São Carlos, São Paulo. Os pesos foram obtidos do nascimento até os nove anos e meio de idade. Nas análises uni, bi e multicaracterística foram utilizados pesos em ao nascimento, desmama, 12, 18, 24 e 30 meses de idade e, na idade adulta. Na análise unicaracterística foram utili
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Ignácio, Vanessa Leonardo. "Modelos alométricos para estimativa da produção de frutos em Jatropha curcas L." Universidade Estadual do Oeste do Paraná, 2009. http://tede.unioeste.br:8080/tede/handle/tede/1383.

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Made available in DSpace on 2017-07-10T17:37:36Z (GMT). No. of bitstreams: 1 Vanessa_Leonardo_Ignacio.pdf: 1068394 bytes, checksum: 5be940540f3888021f7182b44e755e2b (MD5) Previous issue date: 2009-08-07<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The objective was to correlate easy measurement variables and determine various regression equations to achieve allometric patterns in culture of pinion manso (Jatropha curcas L.). Thus, two different spacings (3 x 2 m 5 x 2 m) were compared to obtain the data that best represent the culture. Data collection occurred in the m
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Дубенчук, М. С. "Обґрунтування перспектив розвитку кондитерської підгалузі харчової галузі промисловості України на макрорівні". Thesis, Одеський національний економічний університет, 2021. http://local.lib/diploma/Dubenchuk.pdf.

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Доступ до роботи тільки на території бібліотеки ОНЕУ, для переходу натисніть на посилання нижче<br>Розглянуто сутність та особливості дослідження кон’юнктури; методичні підходи щодо аналізу кон’юнктури ринку; основні методи прогнозування кон’юнктури ринку. Виявлено специфіку кондитерської галузі України; проведено аналіз сучасного стану кондитерської галузі Україні. Визначено ключові проблеми кондитерської галузі Україні; зроблено прогноз стану ринку кондитерських виробів України; наведено перспективи розвитку кондитерської галузі України.<br>The essence and features of market research are c
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Irigoyen, Andrea Inés. "Modelagem da evapotranspiração de referência e da evapotranspiração de limeira ácida com aplicação de técnicas de regressão e redes neurais artificiais." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/11/11131/tde-02082010-155526/.

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O objetivo principal deste trabalho foi testar redes neurais artificiais (RNAs) do tipo multilayer perceptron (MLP) na estimativa da evapotranspiração de referência e da evapotranspiração na linha de plantio de limeira ácida. As RNAs foram treinadas sob algoritmo de gradiente conjugado de erros, com funções de ativação sigmóide na camada intermediária e linear na camada de saída. Foram conduzidas análises comparativas com modelos de regressão. Valores diários de evapotranspiração de referência foram calculados usando o modelo Penman-Monteith (EToPM) a partir de dados meteorológicos (1997-2006)
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Vodáková, Martina. "Analýza vrstvy nervových vláken pro účely diagnostiky glaukomu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220012.

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The master thesis is focused on creating a methodology for quantification of the nerve fiber layer on photographs of the retina. The introductory part of the text presents a medical motivation of the thesis and mentions several studies dealing with this issue. Furthermore, the work describes available textural features and compares their ability to quantify the thickness of the nerve fiber layer. Based on the described knowledge, the methodology to make different regression models enabling prediction of the retinal nerve fiber layer thickness was developed. Then, the methodology was tested on
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Books on the topic "Correlation-regression models"

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Naidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Information Science Reference, 2010.

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Bac-Van, Nguyen. Consistency of least squares estimates in a system of linear correlation models. Polska Akademia Nauk, Instytut Matematyczny, 2001.

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Atkinson, A. C. Plots, transformations and regression: An introduction to graphical methods of diagnostic analysis. Oxford University Press, 1985.

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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Atkinson, A. C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis (Oxford Statistical Science Series). Oxford University Press, USA, 1987.

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Atkinson, A. C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis (Oxford Statistical Science Series). Oxford University Press, USA, 1986.

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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R
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Book chapters on the topic "Correlation-regression models"

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Navarro, Danielle, and David Foxcroft. "12. Correlation and linear regression." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.12.

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This chapter delves into correlation and linear regression, foundational techniques in statistical analysis for exploring relationships between continuous predictors and outcomes. Beginning with the concept of correlations, the chapter examines how variables relate to each other in data, using scatterplots and descriptive statistics to visualise and interpret the strength and direction of relationships. Pearson’s correlation coefficient r is introduced as a measure ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), alongside practical guidance on its calculati
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Gallo, Michael A., and Ulreen O. McKinney. "Other Regression Models: Mediation and Binary Logistic Regression." In Applied Multiple Regression/Correlation Analysis for Aviation Research. Routledge, 2025. https://doi.org/10.4324/9781003506935-14.

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Fahrmeir, Ludwig, and Thomas Kneib. "On the Identification of Trend and Correlation in Temporal and Spatial Regression." In Recent Advances in Linear Models and Related Areas. Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-2064-5_1.

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Lütolf, Meret. "Paternal Leave Duration." In The Balancing Act of Working Mothers and Caring Fathers. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-47716-5_10.

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Abstract Following the theoretically based policy considerations discussed in the previous chapter, this chapter analyses the duration of leave and the distribution of unpaid work within households. It examines the effective leave of fathers in more detail, based on the survey data presented in Section 8.2. By focusing specifically on the duration of leave, this chapter seeks to address the second sub-research question, which is: Does a correlation exist between the length of parental leave taken by fathers upon the birth of their first child and the egalitarianism of the long-term distributio
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Moncayo, Steven, and Guillermo Ávila. "Landslide Travel Distances in Colombia from National Landslide Database Analysis." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_24.

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AbstractThe analysis of landslide processes and consequent damages constitutes an important aspect in risk assessment. The potential reach zones of a landslide can be estimated by analyzing the behavior of past events under particular geological, geomorphological, and climatic conditions. Although landslide risk models have been developed for temperate zones, little information is available for tropical countries, so empirical equations are used without validation. In this study, a dataset comprising characteristic parameters for 123 landslides from the Andean region of Colombia was compiled f
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Pawlasová, Kateřina, Iva Karafiátová, and Jiří Dvořák. "Supervised Classification via Neural Networks for Replicated Point Patterns." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_32.

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AbstractA spatial point pattern is a collection of points observed in a bounded region of $${\bf{\mathbb{R}}}^d$$ R d , $$d \ge 2$$ d ≥ 2 . Individual points represent, e.g., observed locations of cell nuclei in a tissue (d = 2) or centers of undesirable air bubbles in industrial materials (d = 3). The main goal of this paper is to show the possibility of solving the supervised classification task for point patterns via neural networks with general input space. To predict the class membership for a newly observed pattern, we compute an empirical estimate of a selected functional characteristic
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Sarzotti, Ettore, Gianmarco Pignocchino, Alessandro Pezzoli, and Angelo Besana. "NO2 Concentrations and COVID-19 in Local Systems of Northwest Italy." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_7.

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AbstractThis paper aims to further investigate the relationship between the concentrations of nitrogen dioxide (NO2) and the severity of COVID-19 by analyzing the data of three Italian Regions (Piedmont, Valle d’Aosta and Liguria) during the first wave of the pandemic (February–May 2020). The analyses were conducted at a local scale using Local Labor Systems of ISTAT. The annual average of NO2 concentrations, obtained from space satellite Sentinel-5P, was used to assess environmental data. While excess mortality data were used to estimate the severity of the pandemic, calculated as the percent
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Wu, Yihan, Weifeng Li, Ningyi Zeng, and Xiaoxia Bai. "Analyzing the Impact of Tall Building Geometries on Wind Environment in a Hypothetical Urban Context: A Typological and Parametric Study." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8401-1_40.

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AbstractInfill development has become a popular strategy for revitalizing old urban districts. However, the construction of new high-rise buildings can cause nuisance issues that are of great concern to indigenous residents. Our study seeks to address three key research questions by examining the impacts of 34 high-rise building typologies within a hypothetical urban context: 1) To what spatial extent does the construction of new high-rise buildings significantly affect their surroundings? 2) How do different tall building typologies modify their surrounding buildings’ outdoor and indoor venti
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Li, Bo, Henry L. Jiang, Hanhuan Yan, Yishan Qi, and Zhiwang Gan. "Analysis of Purchasing Power Data of Department Store Members and Design of Effective Management Model." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_79.

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AbstractThis paper focuses on the consumption situation and discounting strategies of members in large department stores. On this basis, reasonable strategies and suggestions for discounting activities in department stores are proposed. It needs to determine the consumption habits of members, customer value, life cycle, discount effect and other information. The mathematical model was established to calculate the activation rate of non-active members in the life cycle of members, that is, the possibility of transforming from inactive members to active members. Based on the actual sales data, t
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Agterberg, Frits. "Correlation, Method of Least Squares, Linear Regression and the General Linear Model." In Quantitative Geology and Geostatistics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06874-9_4.

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Conference papers on the topic "Correlation-regression models"

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Dandapat, Sayantan, Nepal Sahu, Chandrashekhar Azad, and Uday Kumar. "Lattice thermal conductivity of material and its correlation with Debye temperature using regression models." In 2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI). IEEE, 2024. http://dx.doi.org/10.1109/apci61480.2024.10616636.

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Woollam, Richard C., Ethan Proudlove, Michael Jones, Harvey M. Thompson, and Richard Barker. "Symbolic Regression Based Surrogate Modelling of a High-Fidelity Multiphysics CO2 Corrosion Model." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00433.

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Abstract A high-fidelity mechanistic carbon steel/carbon dioxide (CO2) corrosion prediction model developed at the University of Leeds has been implemented in the multi-physics (MP) software package COMSOL. The model integrates the bulk solution equilibria, interfacial mass transport and solution reactions, and surface anodic and cathodic electrochemical processes. In this work, the high-fidelity model is randomly sampled in the 5-input dimensions (bulk pH, temperature, CO2 partial pressure, piping velocity and diameter) using a Beta distribution, B(α, β), with the parameters α and β set to 12
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Petrov, B., and V. Antsiferova. "RESEARCH AND DEVELOPMENT OF SALES FORECAST MODELS BASED ON CORRELATION AND REGRESSION." In CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/cismp2024_122-125.

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The paper discusses the issues of forecasting financial activity in the context of the strategic development of the organization. It also presents in detail one of the economic and mathematical algorithms used to forecast the financial results of the organization.
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Antsiferova, V., and B. Petrov. "RESEARCH AND DEVELOPMENT OF SALES FORECAST MODELS BASED ON CORRELATION AND REGRESSION." In ENERGY-SAVING AND ENVIRONMENTALLY SAFE TECHNOLOGIES OF THE TIMBER INDUSTRY – 2025. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/e-sestti2025_211-216.

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This work discusses the theoretical exposition of the regression equation and its application in various fields of research. The regression equation is a mathematical model used to describe the relationship between one dependent variable and one or more independent variables.
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Wang Hailang, You Hailong, and Jia Xinzhang. "Analysis on the effect of regression and correlation models on the accuracy of Kriging model for IC." In 2009 IEEE International Conference of Electron Devices and Solid-State Circuits (EDSSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/edssc.2009.5394268.

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Livshits, M. Y., E. P. Tuponosova, and A. A. Eremeeva. "Regression and correlation models for making management personnel decisions of a complex-structured industrial company." In XII All-Russian Scientific Conference &quot;System Synthesis and Applied Synergetics&quot;. Southern Federal University, 2024. https://doi.org/10.18522/syssyn-2024-10.

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Gjika Dhamo, Eralda, Llukan Puka, and Oriana Zaçaj. "FORECASTING CONSUMER PRICE INDEX (CPI) USING TIME SERIES MODELS AND MULTI REGRESSION MODELS (ALBANIA CASE STUDY)." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.51.

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In this work we analyse the CPI index as the official index to measure inflation in Albania, Harmo-nized Indices of Consumer Prices (HICPs) as the bases for comparative measurement of inflation in European countries and other financial indicators that may affect CPI. This study is an attempt to model CPI based on combination of multiple regression model with time series forecasting models. In the first approach, time series models were used directly on the CPI time series index to obtain the forecast. In the second approach, the time series models (SARIMA, ETS) were used to model and simulate
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Najmon, Joel C., Homero Valladares, and Andres Tovar. "Multiscale Topology Optimization With Gaussian Process Regression Models." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-66758.

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Abstract Multiscale topology optimization (MSTO) is a numerical design approach to optimally distribute material within coupled design domains at multiple length scales. Due to the substantial computational cost of performing topology optimization at multiple scales, MSTO methods often feature subroutines such as homogenization of parameterized unit cells and inverse homogenization of periodic microstructures. Parameterized unit cells are of great practical use, but limit the design to a pre-selected cell shape. On the other hand, inverse homogenization provide a physical representation of an
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Chen, Songhua, Wei Shao, Huiwen Sheng, and Hyung Kwak. "Use of Symbolic Regression for Developing Petrophysical Interpretation Models." In 2022 SPWLA 63rd Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2022. http://dx.doi.org/10.30632/spwla-2022-0113.

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A new physics-guided AI machine learning method for petrophysical interpretation model development is described. The workflow consists of the following five constituents: (1) statistical tools such as correlation heatmaps are employed to select the best candidate input variables for the target petrophysical equations; (2) genetic programming based symbolic regression approach is used to fuse multiphysics measurements data for training the petrophysical prediction equations; (3) an optional ensemble modeling procedure is applied for maximally utilizing all available training data by integrating
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Pavlovski, Martin, Fang Zhou, Nino Arsov, Ljupco Kocarev, and Zoran Obradovic. "Generalization-Aware Structured Regression towards Balancing Bias and Variance." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/363.

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Attaining the proper balance between underfitting and overfitting is one of the central challenges in machine learning. It has been approached mostly by deriving bounds on generalization risks of learning algorithms. Such bounds are, however, rarely controllable. In this study, a novel bias-variance balancing objective function is introduced in order to improve generalization performance. By utilizing distance correlation, this objective function is able to indirectly control a stability-based upper bound on a model's expected true risk. In addition, the Generalization-Aware Collaborative Ense
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Reports on the topic "Correlation-regression models"

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Dashtey, Ahmed, Patrick Mormile, Sandra Pedre, Stephany Valdaliso, and Walter Tang. Prediction of PFOA and PFOS Toxicity through Log P and Number of Carbon with CompTox and Machine Learning Tools. Florida International University, 2024. http://dx.doi.org/10.25148/ceefac.2024.00202400.

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Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) are two major groups of PFAS will be subjected to the Maximal Contamination Concentration (MCL) of 4 ng/l in drinking water to be implemented by the U.S. EPA by 2025. How to accurately predict toxicity of PFAS with varied carbon chain length is important for treatment and sequential removal from drinking water. This study presents Quantitative Structure and Activity Relationship (QSAR) models developed through both linear regression and two order regression. Log P is compiled from reference and carbon content is counted as
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Meloncelli, Daniel. Regression Analysis using R. Instats Inc., 2025. https://doi.org/10.61700/j3s1r521de2ee1472.

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This seminar provides a comprehensive introduction to regression analysis using R. Participants will explore the fundamentals of correlation, simple linear regression, multiple regression, and logistic regression. The seminar emphasises practical application, guiding attendees through data preparation, model fitting, assumption checking, and interpretation of results. Hands-on sessions will enable participants to apply regression techniques to real-world datasets, enhancing their analytical skills for research purposes.
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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature
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Shivakumar, Pranavkumar, Kanika Gupta, Antonio Bobet, Boonam Shin, and Peter J. Becker. Estimating Strength from Stiffness for Chemically Treated Soils. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317383.

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The central theme of this study is to identify strength-stiffness correlations for chemically treated subgrade soils in Indiana. This was done by conducting Unconfined Compression (UC) Tests and Resilient Modulus Tests for soils collected at three different sites—US-31, SR-37, and I-65. At each site, soil samples were obtained from 11 locations at 30 ft spacing. The soils were treated in the laboratory with cement, using the same proportions used for construction, and cured for 7 and 28 days before testing. Results from the UC tests were compared with the resilient modulus results that were av
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Zandiatashbar, Ahoura, Jochen Albrecht, and Hilary Nixon. A Bike System for All in Silicon Valley: Equity Assessment of Bike Infrastructure in San José, CA. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2162.

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Investing in sustainable, multimodal infrastructure is of increasing importance throughout the United States and worldwide. Cities are increasingly making strategic capital investment decisions about bicycle infrastructure—decisions that need planning efforts that accurately assess the equity aspects of developments, achieve equitable distribution of infrastructures, and draw upon accurate assessment methods. Toward these efforts, this project uses a granular bike network dataset with statistical and geospatial analyses to quantify a bike infrastructure availability score (i.e., bike score) th
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McPhedran, R., K. Patel, B. Toombs, et al. Food allergen communication in businesses feasibility trial. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.

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Background: Clear allergen communication in food business operators (FBOs) has been shown to have a positive impact on customers’ perceptions of businesses (Barnett et al., 2013). However, the precise size and nature of this effect is not known: there is a paucity of quantitative evidence in this area, particularly in the form of randomised controlled trials (RCTs). The Food Standards Agency (FSA), in collaboration with Kantar’s Behavioural Practice, conducted a feasibility trial to investigate whether a randomised cluster trial – involving the proactive communication of allergen information a
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Schling, Maja, Roberto Guerrero Compeán, Nicolás Pazos, Allison Bailey, Katie Arkema, and Mary Ruckelshaus. The Economic Impact of Sargassum: Evidence from the Mexican Coast. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004470.

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This paper assesses the local economic impact of pelagic Sargassum seaweed washed ashore in tourism-heavy coastal zones in the Mexican State of Quintana Roo. The study relies on a carefully designed Geographic Information Systems (GIS) dataset of monthly observations from 2016 to 2019 for 157 beach segments. The dataset comprises an innovate measure of Sargassum seaweed presence, remotely sensed nighttime light intensity as a proxy of economic growth, as well as information on key infrastructure, sociodemographic and beach characteristics. We apply a fixed-effects regression model that control
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Zhang, Yongping, Carol Kachadoorian, Wen Cheng, and Edward Clay. Enhancing Older Adults’ Mobility in Active Living and Tiered Living Communities. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2159.

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The U.S. population is aging rapidly. As people get older, they increasingly face issues such as increased susceptibility to injuries and the need to be assisted with many day-to-day activities. Older adults have the opportunity to opt-in to live in an older adult community (OAC) based on their needs and capabilities. This study comprehensively reviews existing governing development regulations and design criteria related to the older adults’ communities, conducts surveys among people involved with some of these communities in California, and recommends improvements to community design for act
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You, Saokeo Khantey, Alvin Leung, Leavsovath In, and Sopheak Song. A Quantitative Study on Entrepreneurial Intention of University Students in Cambodia. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.136.202301.

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Entrepreneurship is crucial to advancing the economy of Cambodia and fostering the development of society. The Royal Government of Cambodia has recognised the importance of entrepreneurship and included the promotion and entrepreneurship education in multiple policies and strategy. Universities and higher education institutes have been more active in providing entrepreneurship education (EE) as well as services and facilities to support startups in recent years. However, to date, there is very limited research on how young people in Cambodia perceive and prepare for entrepreneurial careers. Th
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