Multiple Regression Analysis
A. Multiple regression analysis
... are Multiple Regression Analysis (MRA), Multiple Regression Analysis incorporating Genetic Algorithm (MRA-GA), and Neural Network ...
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Numerical Simulation of Cantilever Beam with Multiple Cracks Using Neural Networks and Multiple Regression Analysis Tool
... vibration analysis of the crack free and cracked ...structural analysis and it is mid node element which gives the more accurate ...modal analysis of cracked and crack free beams are ...and ...
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Multiple regression analysis using climate variables
... Multiple regression analysis is usually used to determine the relationship of two or more independent ...in multiple regression analysis which are the backward elimination, ...
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Customized Supplier Selection Methodology: An Application of Multiple Regression Analysis
... competition may be the reasons that attract practitioners to select from a dedicated list of promising suppliers. Most of the previous studies on this subject have concentrated on the selection of either the criteria or ...
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FINANCIAL PERFORMANCE OF MFIs IN BANGLADESH – A MULTIPLE REGRESSION ANALYSIS
... Microfinance Institutions (MFIs) are those institutions which are providing microfinance services such as savings, credit, insurance and remittance services to poor. The study aims at analyzing the financial performance ...
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Anemia Modelling Using the Multiple Regression Analysis
... the multiple linear regression ...A multiple linear regression model is produced through biomedical ...on multiple regression analysis has been applied in this research ...
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Multiple Regression Analysis for Residual Strength of Concrete at Elevated Temperature
... This value is much smaller than any of the data values, indicating that this model accurately follows the data. The results of these multiple regression analysis are summarized by the following newly ...
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Estimation of House Selling Price by Multiple Regression Analysis Using SAS Software
... Regression analysis is one of the most widely used statistical ...Today, regression analysis is applied in the social sciences, medical research, economics, agriculture, biology, meteorology, ...
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Analysis of Black Market in Central African Republic’s Mining Sector: A Multiple-Regression Analysis
... Talking about property right, there are two distinct mean ings: economic property rights (Besley & Ghatak, 2010) and lega l property rights (Meinzen -Dick & Pradhan, 2002). The economic property rights of an ...
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A Multiple Regression Analysis on Influencing Factors of Urban Services Growth in China
... In this model, R² value for the first stage of analysis re- gression model is 0.967 (refer to Table 2 ), which means that the influencing factors explain 97 per cent of the variance in the urban services growth. ...
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Productivity modeling of precast concrete installation using multiple regression analysis
... between these two methods is that in the latter, the variables are entered for examination at each step for entry and removal analysis. However, in the former method, all of the variables are entered in a single ...
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Flash Flood Prediction Model based on Multiple Regression Analysis for Decision Support System
... The government and local agencies had been known to monitor the water level manually by putting measurements in certain areas under the bridge to determine the volume of water. From time to time, a representative has to ...
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Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network
... nonparametric regression, and Gaussian maximum methods in order to develop models for traffic volume forecasting by day of the week, by month and AADT for the entire year ...
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Principal Component and Multiple Regression Analysis for Steel Fiber Reinforced Concrete (SFRC) Beams
... A multiple linear regression model is shown in ...component regression (PCR) decomposes X into orthogonal scores T and loadings P, as shown in ...component regression, the scores are present ...
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Risk Assessment of Highway Construction Projects using Fuzzy Logic and Multiple Regression Analysis
... A risk is defined as the potential for complications and problems with respect to the completion of a project and the achievement of a project goal. The aim of the risk assessment is to identify hazards, after which it ...
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Development of QSAR Model of substituted Benzene Sulphonamide using Multiple Regression Analysis
... Based on the information contained in Table- 2(A), we conclude that model 2 to 9 gives R2>0.6 and in Table-2(B) model 4 to 9 shows significant R2.On comparing observations in Table-[r] ...
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5 Multiple regression analysis with qualitative information
... So far we have tested hypotheses in which one parameter, or a subset of parameters of the model, is different for two groups (women and men, for example). But sometimes we wish to test the null hypothesis that two groups ...
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A Multiple Regression Analysis for Predicting Salinity in Shallow Groundwater
... called multiple linear regression ...consuming. Multiple linear regression modeling has been applied for predicting water quality indexes (Joarder et ...this multiple linear ...
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Pressure points in reading comprehension:a quantile multiple regression analysis
... quantile regression analysis to examine how each construct was related to reading comprehension individually at different quantiles, and how constructs were uniquely related to reading comprehension while ...
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Application of multiple linear regression model in the performance analysis of traffic rules
... Based on lane changing rules of cellular automata traffic flow model constructed in Problem Two, it applies to the highway road, no matter the vehicle is on the left or right. The obvious difference is the body's ...
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