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Efficient Correlation Method for Satellite Thermal Analysis Model Using Multiple Linear Regression and Optimization Algorithms
As the thermal analysis model of satellites is used as an important indicator for thermal design, it must accurately simulate the thermal behaviour...
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Multiple Linear Regression Applied in the Calibration of Numerical Analysis in Deep Foundations
Calibrating a numerical model is an indispensable step in ensuring the reliability of numerically derived results. The constant evolution of highly...
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Regression Analysis for Conference Matrices
Regression analysis is performed on the experimental observation data according to the conference matrices. Practical researchers have few...
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Quality prediction of friction stir welded joint based on multiple regression: entropy generation analysis
Due to the outstanding advantages in light alloy material processing, friction stir welding technology is of great significance for obtaining...
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Curve Fitting and Regression Analysis
Curve fitting and regression analysis are powerful statistical tools used widely in hydrological data modeling. They can be used to model underlying...
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Proposal of Strength Estimation Formula of Wall Clays Using Multiple Regression Analysis
Mud walls, which have been used since ancient times in Japanese timber structures, have the advantages of being harmless to the human body and having...
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Bayesian multiple linear regression model for GDP in India
Gross Domestic Product (GDP) known as the pulse of economy for any country depends on multiple factors like export–import, inflation rate and...
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Decoding COVID-19 Vaccine Hesitancy Using Multiple Regression Analysis with Socioeconomic Values
With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in...
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Application of laser welding to STS301L side structure of railway vehicles(I) - vertical incidence welding conditions for laser beam based on multiple regression analysis
In this study, the vertical incidence welding conditions of laser welding was tested to improve the finished appearance by replacing the resistance...
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Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners
Analytical methods cannot find the exact solution for inelastic lateral torsional buckling. This study aims to develop innovative solutions by...
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Multiple Regression Analysis of Performance Indicators in the Tertiary Food Processing Industry
Almost all food is processed in some way before it is ingested. Food is processed to make it more tasty, pleasurable, and safe to consume, as well as...
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A methodology for multiple performances optimization of computer numerical controlled (CNC) machining process based on design of experiment, multi-criteria decision-making and multiple regression model
This paper proposes multiple performances optimization methodology for computer numerical controlled (CNC) machining based on Taguchi method,...
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Application of laser welding to STS301L side structure of railway vehicles (II) - incidence angle welding conditions for laser beam based on multiple regression analysis of dummy variables
This study was conducted to determine the applicability of welding by the incidence angle of a laser beam to prevent laser head interference when a...
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Regression Analysis
Regression analysis or curve fitting consists in arriving at a relationship that may exist between two or more variables. In the context of...
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Study on Determination Method of Reasonable Well Spacing in Water Drive Reservoir Based on Multiple Regression Analysis
The determination of reasonable well spacing in water drive reservoir is the key to the design of oilfield development scheme. However, due to the...
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A critical evaluation in analysing the influence of data analytics in enhancing supply chain management process through multiple regression analysis
This research analyses the influence of data analytics in enhancing the supply chain management process. From the global perspective, companies are...
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Logistic Regression Tree Analysis
Ordinary logistic regression (OLR) models the probability of a binary outcome. A logistic regression tree (LRT) is a machine learning method that...
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Optimal Backfilling Materials with High Compressive Strength Based on Multiple Linear Regression
Backfilling material such as tailing (mine wastes) mixing with cement or gypsum has grown throughout the world’s underground mines. However, despite...
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Prediction of Unconfined Compressive Strength of Fly Ash–Soil–Lime–Fiber System Using Multiple Regression Analysis
This study reports the development of the prediction models using multiple regression analysis for predicting the unconfined compressive strength...
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Novel Fuzzy Correlation Coefficient and Variable Selection Method for Fuzzy Regression Analysis Based on Distance Approach
In data analysis, analyzing the relationships between the variables such as correlation analysis and regression analysis are very important....
