Gotowe bibliografie tematyczne / Regression equation etc

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Gotowa bibliografia na temat „Regression equation etc”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Regression equation etc"

Semenov, Aleksandr Vladimirovich. "STATISTICAL ASSESSMENT OF THE SIGNIFICANCE OF THE MULTIPLE REGRESSION EQUATION OF AGRICULTURAL PRODUCTION." Экономика сельского хозяйства России, no. 2 (February 1, 2025): 123–27. https://doi.org/10.32651/252-123.

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Constructing regression equations based on data from independent variables is an urgent task in various fields such as economics, marketing, engineering, agriculture, etc. Such an equation can be used to predict the variable under study. An equally important task is to assess the statistical significance of both the equation as a whole and the obtained regression coefficients. In the article, using the example of the multiple regression equation for agricultural production, such an assessment is made, the main criteria and formulas for their calculation are given.

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Chernykh, A. G., Sh M. Mamedov, and D. I. Korolkov. "Forecasting the parameters of building structures using regression equations. Part 1. Forecasting with independent action of variables and constancy of operating factors." Вестник гражданских инженеров 18, no. 1 (2021): 70–75. http://dx.doi.org/10.23968/1999-5571-2021-18-1-70-75.

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The article presents a method for forecasting the parameters of building structures using regression equations. The most commonly used regression equations were used, namely, linear, polynomial, power, exponential, exponential, logarithmic, semi-logarithmic, hyperbolic and logistic ones. The authors propose to use one-factor regression equations in which the variable value is time, and the dependent value is the parameter of the building structure, the changes of which the researcher needs to determine. Thereafter, the authors present the basic equations as multi-factorial ones. This is achiev

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Bian, Xinxiao, and Quan Wang. "A comprehensive mathematical model for an accurate calculation of the oil film thickness of strip cold rolling." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 234, no. 3 (2019): 350–61. http://dx.doi.org/10.1177/1350650119862930.

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The surface quality of cold rolled strip is related to a greater extent on the rolling oil film thickness, and there are many factors that affect the oil film thickness. Considering the various factors comprehensively, an integrated mathematical model is established, such as roughness of rolls and strips, elastohydrodynamic lubrication, friction heat and plastic deformation heat in the rolling zone, viscosity varying with temperature and pressure, etc. A series of equations are developed, such as the Reynolds equation of partial membrane hydrodynamic lubrication based on average flow theory, e

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Mazūra, Mindaugas, and Olga Fadina. "THE RELIABILITY OF FORECASTS IN TRANSPORTATION." TRANSPORT 17, no. 6 (2002): 219–22. http://dx.doi.org/10.3846/16483840.2002.10414046.

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Major problems of forecasting the economic characteristics of transportation (i.e. the amount of freight and passengers carried, the turnover rate of freight and passengers, etc. in transportation as a whole and in particular areas using various transport facilities) are demonstrated. Methods for predicting the development of transportation based on multidimensional regression and correlation analysis and realizing mathematical models for choosing linear and nonlinear regression equations, more accurately approximating the empirical data, are presented. The research conducted has demonstrated

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Andrianova, O. R., and A. V. Sryberko. "Methods for calculating the speed of sound distribution by water temperature: case study for the Black Sea." Ukrainian hydrometeorological journal, no. 24 (December 9, 2019): 83–91. http://dx.doi.org/10.31481/uhmj.24.2019.08.

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The article presents the results of the research aimed at calculating the vertical speed of sound distribution in the active layer of the Black Sea based on water temperature readings. The research was carried out in the active layer of the deep-water section of the Black Sea at the depth range of 0 – 50 meters. The water temperature values taken at the hydrological stations or the shipboard measurements (OSD: Ocean Station Data) taken with the help of floats (PFL: Profiling Float Data) were used as initial data. The calculations were based on the identification of correlation relationships be

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Gurbanova, U. M., Z. S. Safaraliyeva, N. R. Abishova, R. G. Huseynova, and D. B. Tagiyev. "MATHEMATICAL MODELING THE ELECTROCHEMICAL DEPOSITION PROCESS OF Ni–Mo THIN FILMS." Azerbaijan Chemical Journal, no. 3 (September 28, 2021): 6–11. http://dx.doi.org/10.32737/0005-2531-2021-3-6-11.

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To avoid the numerous experiments for determining optimal conditions and electrolyte composition at co-deposition of two metals we have cleated the regression equation. Mathematical calculations have been carried out using the Optum ME package program with the study of some factors as current density, concentration of main components, temperature, etc. which effect on the co-deposition process. Three independent variables have been selected. The amount of molybdenum in the deposit has been chosen as the dependent variable. The developed regression equation quite adequately describes the co-dep

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Bonilla, Diego A., Laura Castrillón-Ruíz, Luisa F. Soto-Arenas, Mayra A. Márquez-Rodríguez, Richard B. Kreider, and Jorge L. Petro. "Estimation of Stature in Adults: Development and Validation of a New Predictive Formula using the Tibiale Mediale-Sphyrion Tibiale Length." Revista Española de Nutrición Humana y Dietética 26, no. 1 (2022): 61–71. http://dx.doi.org/10.14306/renhyd.26.1.1456.

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Introduction: Several regression equations for estimating stature have been used by health professionals in the clinical, nutritional, and forensic practice. However, there is a lack of standardization when taking measures and further population-specific equations are needed. We aimed to develop and validate an equation to estimate stature in adult population using the International Society for the Advancement of Kinanthropometry (ISAK)-standardized measurement Tibiale Mediale-Sphyrion Tibiale (TMST) length. Methodology: A total of 188 Colombian adult women and men (23.1(4.0) years; 165.0(8.5)

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Pérez-Sánchez, Belén, Carmen Perea, Guillem Duran Ballester, and Jose J. López-Espín. "Estimation of simultaneous equation models by backpropagation method using stochastic gradient descent." PeerJ Computer Science 10 (October 8, 2024): e2352. http://dx.doi.org/10.7717/peerj-cs.2352.

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Simultaneous equation model (SEM) is an econometric technique traditionally used in economics but with many applications in other sciences. This model allows the bidirectional relationship between variables and a simultaneous relationship between the equation set. There are many estimators used for solving an SEM. Two-steps least squares (2SLS), three-steps least squares (3SLS), indirect least squares (ILS), etc. are some of the most used of them. These estimators let us obtain a value of the coefficient of an SEM showing the relationship between the variables. There are different works to stu

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PARYGINA, S. A. "CONSTRUCTION OF A MATHEMATICAL MODEL OF THE CORROSION DEFECT ON COLD-ROLLED STEEL DEPENDING ON THE PRODUCTION FACTORS." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 78, no. 5 (2022): 426–30. http://dx.doi.org/10.32339/0135-5910-2022-5-426-430.

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Significant economic losses from metal corrosion force metal manufacturers to look for ways to reduce these losses including using the machine learning methods. A regression mathematical model has been built that allows regulating the influence of the initial factors in the production of cold-rolled steel in order to reduce such a common defect as metal corrosion. We have identified 10 significant production factors and selected the equation of linear multiple regression of these factors for the output variable y, which determines the percentage of scrap due to corrosion during production of t

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Ha Tuan, Cuong, and Phuong Ha Tran. "Integrating Landsat 8 and Sentinel 2 in increasing the spatial resolution of land surface temperature: A case study in Ho Chi Minh city." E3S Web of Conferences 626 (2025): 01002. https://doi.org/10.1051/e3sconf/202562601002.

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One of the most popular methods for calculating land surface temperature (LST) is based on the thermal band of satellite images, but the resolution is relatively low and medium. Therefore, the technique of sharpening or downscaling the resolution to calculate LST values is getting more popular. The method of ameliorating LST’s resolution is approached by building a linear regression equation between land surface indices from high-resolution satellite images and LST values retrieved from low to medium-resolution images. This study experimented in Ho Chi Minh city from 2015 to 2022 by integratin

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Rozprawy doktorskie na temat "Regression equation etc"

Mecham, Charlotte M. "NRCS Curve Number Calibration Using USGS Regression Equations." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1388.

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The Curve Number (CN) method of estimating the direct runoff response to rainfall events was originally developed in the 1950's primarily for agricultural purposes in the mid-western United States. The accuracy of the CN method is greatly affected by variation of the soil type and land use of the region. Curve Numbers developed for a given region are not appropriate for application in other regions. In order to produce reliable, consistent results, Curve Numbers must be calibrated for the area in which the CN method is to be applied. Calibration is ideally accomplished by direct measurement us

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Adsero, Charlotte M. "NRCS Curve Number calibration using USGS regression equations /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2369.pdf.

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Kasturiratna, Dhanuja. "Assessing the Distributional Assumptions in One-Way Regression Model." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1148479945.

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Legare, Jonathan Charles. "Study of Structural Equation Models and their Application to Fitchburg Middle School Data." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/101.

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Structural equation models combine factor analysis models and multivariate regression models to estimate associations between observed variables and unobserved variables. The main achievement of this Capstone Project is the understanding of structural equation models and application of the models to real-world data. In this report, we reviewed structural equation models and several prerequisite topics. We performed a simulation study to compare maximum likelihood structural equation model estimation versus two-stage sequential estimation using multiple linear regression and maximum likelihood

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Pemmanaboina, Rajashekar. "Assessing Crash Occurrence On Urban Freeways Using Static And Dynamic Factors By Applying A System Of Interrelated Equations." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2617.

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Traffic crashes have been identified as one of the main causes of death in the US, making road safety a high priority issue that needs urgent attention. Recognizing the fact that more and effective research has to be done in this area, this thesis aims mainly at developing different statistical models related to the road safety. The thesis includes three main sections: 1) overall crash frequency analysis using negative binomial models, 2) seemingly unrelated negative binomial (SUNB) models for different categories of crashes divided based on type of crash, or condition in which they occur, 3)

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Moore, Laura Christine. "Calcium, Magnesium, and the Metabolic Syndrome in the 2001-2010 NHANES Adult Data Using Regression and Structural Equation Modeling Methods." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1417792558.

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Brady, Kaitlyn. "Learning Curves in Emergency Ultrasonography." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/1150.

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"This project utilized generalized estimating equations and general linear modeling to model learning curves for sonographer performance in emergency ultrasonography. Performance was measured in two ways: image quality (interpretable vs. possible hindrance in interpretation) and agreement of findings between the sonographer and an expert reviewing sonographer. Records from 109 sonographers were split into two data sets-- training (n=50) and testing (n=59)--to conduct exploratory analysis and fit the final models for analysis, respectively. We determined that the number of scans of a particular

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Addo, Evans Dapaa. "Performance Comparison of Imputation Algorithms on Missing at Random Data." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3422.

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Missing data continues to be an issue not only the field of statistics but in any field, that deals with data. This is due to the fact that almost all the widely accepted and standard statistical software and methods assume complete data for all the variables included in the analysis. As a result, in most studies, statistical power is weakened and parameter estimates are biased, leading to weak conclusions and generalizations. Many studies have established that multiple imputation methods are effective ways of handling missing data. This paper examines three different imputation methods (predi

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Cimenler, Oguz. "Social Network Analysis of Researchers' Communication and Collaborative Networks Using Self-reported Data." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5201.

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This research seeks an answer to the following question: what is the relationship between the structure of researchers' communication network and the structure of their collaborative output networks (e.g. co-authored publications, joint grant proposals, and joint patent applications), and the impact of these structures on their citation performance and the volume of collaborative research outputs? Three complementary studies are performed to answer this main question as discussed below. 1. Study I: A frequently used output to measure scientific (or research) collaboration is co-authorship in s

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Idri, Amanda C. "Development of a Correlation Equation Between Shear Wave Values And NSPT Values in Northeastern Ohio." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1574441753941474.

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Części książek na temat "Regression equation etc"

Parijatham Kanchana, S., Poojita Pabbu, and Y. Sabitha. "In Bitro Studies on Alpha Glucosidase and Alpha Amylase Inhibitory Activities of Indigofera Tirunelvelica and Basella Alba." In Convergence of Technology & Biology - Transforming Life Sciences. Shanlax Publications, 2025. https://doi.org/10.34293/ctbtls.2025.ch017.

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Diabetes is a chronic, metabolic disorder characterized by Hyperglycaemia (elevated levels of blood glucose), which leads over time to serious damage to the heart, blood vessels, eyes etc. India is referred to as the “diabetes capital of the world” because. Around 77 million people are diagnosed with diabetes which makes it the second most affected country after China. Since antidiabetic drugs prescribed today have frequent side effects, research on plant-based alternatives is needed. This study aims to find out the antidiabetic activity of Indigofera tirunelvelica and Basella alba by evaluati

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Singh, Ajay Kumar, Sanjeev Kumar, and Meenakshi Gupta. "Relationship Between Digitalization and Environmental Sustainability in Selected Countries." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3985-5.ch006.

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This chapter aims to observe inter-casual relationship between digitalization and environmental sustainability (ES) in 34 countries during 2000 – 2021. Log-linear regression equations and ARDL models are formulated to detect the association of ES with digitalization. Information and communication technology index and environmental sustainability index are included as useful indicators for digitalization and ES, respectively, in the mentioned models. Foreign direct investment (FDI), employment, R&D expenditure, inflation, environmental technology, per capita GDP, cereal yield, manufacturing

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Yegorova, N. Y., E. A. Koroleva, and A. V. Gorlov. "Corruption as a Factor Forming the Level of Domestic Trust: Topological Model and Regressional Analysis." In Theory and Practice of Institutional Reforms in Russia: Collection of Scientific Works. Issue 50. CEMI Russian Academy of Sciences, 2020. http://dx.doi.org/10.33276/978-5-8211-0788-6-49-61.

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The article discusses the concepts of trust and corruption in society and explores the interdependence between them using the international Edelman Trust Barometer (ETB) Corruption Perceptions Index (CPI). Research methods are: 1) the topological model proposed by the authors, built on the averaged values of these indices; 2) correlation and regression analysis; 3) scenario approach based on the formation of «range corridors». The analysis of the topological model was carried out, on the basis of which the zones of low, medium and high levels of corruption were identified, with a characteristi

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P. Agbo, Emmanuel. "The Role of Statistical Methods and Tools for Weather Forecasting and Modeling." In Weather Forecasting [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96854.

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The need to understand the role of statistical methods for the forecasting of climatological parameters cannot be trivialized. This study gives an in depth review on the different variations of the Mann-Kendall (M-K) trend test and how they can be applied, regression techniques (Simple and Multiple), the Angstrom-Prescott model for solar radiation, etc. The study then goes ahead to apply some of them with data obtained from the Nigerian Meteorological Agency (NiMet), and applying tools like the python programming language and Wolfram Mathematica. Results show that the maximum ambient temperatu

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Streszczenia konferencji na temat "Regression equation etc"

Li, Song, Zhang Xianmin, and Yang Jian. "Error Transfer of Planar Linkages With Pair Clearance: Part 2 — The Effect of Dimension Type to the Error Transfer Coefficient." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-6055.

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Abstract In this paper, based upon the method of Part 1, by the Monte-Carlo simulative experiment and the method of multivariate linear regression, the general regression equation of the planar linkage’s error transfer coefficient (ETC) for pair clearance is presented. And the regression equation is developed to display the effect of the driver relative length to ETC while the pair fit is invariable. The studying result shows that the regression equation of the effect of the driver’s relative length to ETC has the same form while the dimension type is variable. And through the curves, the effe

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Li, Song, Zhang Xianmin, and Yang Jian. "Error Transfer of Planar Linkages With Pair Clearance: Part 1 — The Error Transfer Coefficient of Experimental and Practical Mechanism." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-5913.

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Abstract In this paper, the regression equations of the error transfer coefficient (ETC) for the experimental planar linkage mechanism for pair clearances are obtained by utilizing the Monte-Carlo simulation method. Based upon this, a correction procedure and the correction coefficient of the regression equation are presented for the practical planar linkage mechanism. The study result shows that the ETC of planar linkages with pair clearance have the same form while the dimension type is identical.

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Inamdar, Kedar H., and S. G. Joshi. "Quantitative Evaluation of Surface Roughness of Flat Metal Surfaces Using Computer Vision System." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95322.

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In this paper, a method of quantitative evaluation of surface roughness based on computer vision system is presented. A low cost computer vision system consisting of flat bed desktop scanner connected to personal computer (PC) is used. A large number of surface specimens such as EN-8, EN-9, cast iron, copper, brass, aluminium, C-20, C-45 steel etc. were carefully prepared by using various machining processes like planing, shaping, turning, milling, grinding, polishing etc. to generate a database of surface specimens with different lay-types and surface roughness values. This database is evalua

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Hareyama, Soichi, Satoshi Kobayashi, Kazumi Ozawa, Kenji Tsuji, and Shinya Yamamoto. "Formulation of Loosening Phenomena in Actual Machines and a Consideration of Loosening Visibility." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-144611.

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Abstract The results of the previous study showed that the loosening phenomenon of bolted joints used in actual equipment has a strong linear relationship on both logarithmic coordinates. This linear relationship is also observed in the tendency of axial tension reduction in Junker-type loosening test machine. This relationship can be displayed as a regression line and regression equation, and can be utilized for loosening lifetime estimation. The axial tension reduction phenomenon usually can’t be measured without using ultrasonic measurement methods or strain gauges etc. Therefore, measureme

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Yang, Yi, Yang Cao, Weiqiang Yu, et al. "Optimization Method and Application of Deliverability Testing for Low-Permeability Gas Condensate Wells." In International Petroleum Technology Conference. IPTC, 2025. https://doi.org/10.2523/iptc-24784-ea.

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Abstract The deliverability testing of gas wells is an important technology to master the scale of oil and gas reservoirs and assist in making development plans. Conventional reservoirs generally use storage pressure gauges for testing, and through deliverability testing with multiple rates, the deliverability equation is obtained using binomial regression method. For low-permeability condensate gas reservoirs, abnormal binomial productivity equations often occur during well testing and calculation. We will analyze the main influencing factors and summarize a targeted testing and interpretatio

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Liu, Huifeng, Longlian Cui, Zundou Liu, et al. "Using Machine Learning Method to Optimize Well Stimulation Design in Heterogeneous Naturally Fractured Tight Reservoirs." In SPE Canadian Energy Technology Conference. SPE, 2022. http://dx.doi.org/10.2118/208971-ms.

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Abstract The reservoirs in Kuqa foreland area of Tarim Basin in China are ultra-deep HTHP (High Temperature and High Pressure) naturally fractured sandstone reservoirs. Due to low permeability of the matrix (&lt;0.1mD), stimulation of the natural fractures is the key to well productivity enhancement. Different stimulation techniques with different stimulation strengths have been tried in the last decade, but stimulation effectiveness varied. Therefore, machine learning method is employed to identify the main controlling factors and optimize the well stimulation design. Firstly, geological

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Chang, Haiping, Jingyu Zhang, and Taiping Huang. "Experimental Investigation on Impingement Heat Transfer From Rib Roughened Surface Within Arrays of Circular Jets: Correlation." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0220.

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Impingement heat transfer is one of the useful cooling methods for high temperature gas turbine blades and/or guide vanes in aeroengines. After the cooling jet impinges on the leading edge of the turbine blade and/or guide vane, it flows downstream and turns to be the initial crossflow for the aft row of impinging jet. The process of impingement heat transfer is quite complicated, especially when the target surface is rib roughened. In this paper, the correlation of the impingement heat transfer characteristics has been analyzed based on thousands of experimental data in different parameter ma

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RUSU, Ion, Loredana JUDELE, and Daniel LEPADATU. "SELF-LEVELING SCREED PROPERTIES OPTIMIZATION FOR HORIZONTAL CONCRETE SURFACES RESTORATION USING D-OPTIMAL DESIGN." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/6.1/s26.41.

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The paper contains the results of experimental research on the elaboration of the composition and optimization of the properties of the self-levelling screed based on cement and sand, intended for the fulfilment of the intermediate layer of floors, including industrial enterprises with the aggressive environment; sedentary parts of tanks, basins; bunkers; different containers, etc. The reinforced self-levelling screed has an absolutely horizontal surface. It allows the application of finished layers of composite polymer materials with a uniform thickness, and the finished layers of floor mater

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Guo, Y. B., Q. Wen, and M. F. Horstemeyer. "Using Internal State Variable Plasticity to Determine Dynamic Loading History Effects in Manufacturing Processes." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60020.

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Worked materials in large deformation processes such as forming and machining experience a broad range of strain, strain rate, and temperatures, which in turn affect the flow stress. However, the flow stress also highly depends on many other factors such as strain path, strain rate and temperature history. Only a model that includes all of these pertinent factors is capable of predicting complex stress state in material deformation. In this paper, the commonly used phenomenological plasticity models (Johnson-Cook, Usui, etc.) to characterize material behavior in forming and machining were crit

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Osawa, Keisuke, Yifan Hua, Kaiwen Duan, Kei Nakagawa, and Eiichiro Tanaka. "Development of a Compact Walking Assistive Robot for Exercise Promotion and Gait Training." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004409.

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With the growing population of aged citizens, the number of people coping with walking disorders is increasing. To address this problem, various types of walking assistive robots were developed. However, most of these robots are heavy, bulky, and with poor practicability.In this study, we developed a compact walking assistive robot which can be used for exercise promotion and gait training for the able-bodied elderly. By assisting only the user’s ankle joint, the robot can assist the foot lift based on the stretch reflex mechanism, inform the user of the correct motion and timing, and guide th

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Raporty organizacyjne na temat "Regression equation etc"

Gaglianone, Wagner Piazza, and Waldyr Dutra Areosa. Financial Conditions Indicator for Brazil. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011805.

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This paper proposes a methodology for constructing a Financial Conditions Indicator (FCI) based on factor analysis and the approaches of Brave and Butters (2011) and Aramonte et al. (2013). A selected set of variables is used and their information content aggregated into a single index that summarizes the overall financial conditions of the economy. The approach is further employed to forecast economic activity. An empirical exercise for Brazil is provided to illustrate the methodology, in which a reduced-form equation is employed to point forecast the growth rate of the Brazilian economy. In

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