multiple linear
Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non
... . Linear QSAR models were developed, using the most simple and popular method multiple linear regression and support vector machine aided linear method while non-linear QSAR models were ...
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Multiple Linear Regression for Extracting Phrase Translation Pairs
... difference. Multiple linear regression model combined with N-best strategy will be employed to filter phrase translation pairs, in order to improve the evaluating and filtering ...After multiple ...
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EXAMINATION OF MULTIVARIATE MULTIPLE LINEAR REGRESSION ANALYSIS
... multivariate multiple linear regression analysis can also determine the effect of which independent variable on dependent ...Multivariate multiple linear regression models were formed when ...
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Pile design using Multiple Linear Regression model
... There is a marked increase in the use of statistic and its methods in representing the complex relationship between factors in geotechnical engineering. In this paper “ Multiple Linear Regression ” model, ...
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Application of Multiple Linear Regression Technique to Predict Noise Pollution Levels and Their Spatial Patterns in the Tarkwa Mining Community of Ghana
... Abstract: Predicting and preventing intraurban noise levels in our communities are very challenging for urban planning, epidemiological studies and environmental management, especially in the developing world. Most ...
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Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses.
... The objective function and constraints of fhe linear programming model for determination of site characteristics (Xi) for optimum crude protein yield (Y 1. Also, th[r] ...
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Anthropometric Surrogates To Identify Low Birth Weight Newborns In Resource Limited Settings: A Hospital Based Study
... anthropometric measurements correlate significantly with birth weight. Multiple linear regression analysis showed the best predictors in the descending order for low birth weight were Chest C. C., Head C., ...
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Browse Title Index
... were linear associations between the OO components and PE ...analyses, multiple linear regression analyses were conducted to estimate parameters of the linear equations used to predict values ...
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Wear Optimization of Al/Sic/Gr Hybrid MMC Using Taguchi and ANOVA
... A multiple linear regression model is fitted using “MINITAB 16”. This model gives the relationship between input and output by fitting a linear equation. Regression equation [r] ...
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A Three-Step Neural Network Artificial Intelligence Modeling Approach for Time, Productivity and Costs Prediction: A Case Study in Italian Forestry
... A multiple linear regression model (MLR) and artificial neural network (ANN) have been carried out to predict gross time, productivity and costs estimation in a series of qualitative and quantitative ...
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Emotional Dissonance And Personality Traits As Predictors Of Psychological Wellbeing Among Nurses In Makurdi Metropolis
... simple linear analysis showed that emotional dissonance significantly predicted psychological wellbeing among nurses in Makurdi metropolis ...negatively. Multiple linear regression also revealed that ...
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Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital
... Lavdaniti et al. (2012) developed an evaluation of depression level in colorectal cancer patients. They stated colon cancer is the third most common cancer in male and female and depression is the most factor related to ...
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Dielectric microwave sensors with multivariate calibration
... The seven model parameters are calculated from the mea- sured dielectric spectra using a non-linear curve fitting proce- dure. This procedure is described in (Grant et al., 1978) and based upon the ...
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Spectral analysis of ZUC-256
... For multiple (vectorized) linear approximations, ...the linear approximation would be highly ...of multiple linear approximations, such as [HN12], [HCN19], but there is not much ...
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THE EFFECT OF THE LABOUR FORCE AND INVEST ON PERFORMANCE IN THE FISHERIES SECTOR IN THE CITY OF NORTH JAKARTA
... This study aims to determine the effect of the number of the workforce and investment on performance in the fisheries sector in North Jakarta. This research was conducted in North Jakarta in August 2019. The method used ...
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Download Download PDF
... as Multiple Linear Regression, Artificial Neural Network, Grey Prediction method and Logistic Curve Method which have different applicable environments and limits ...
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Using Baseball Data as a Gentle Introduction to Teaching Linear Regression
... This effort describes a successful classroom exercise to introduce simple and multiple linear re- gression to working professional MBA students. The exercise starts by exploring the relationship between a ...
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New Results in the Linear Cryptanalysis of DES
... with multiple linear approxi- mations posed earlier by Biryukov, De Canni` ere and ...the linear cryptanalysis of 16-round DES reported by Matsui at ...
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Quantifying the Relationship between Adaptive Traits and Agro-climatic Conditions
... for the two response variables (Days to Healing and Days to Maturity), independently. It is important to make sure that the assumptions of the model are satisfied. Violation of any of the model assumptions might possibly ...
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Maternal Mortality Correlates by Nation
... Background: This study reports the results of a secondary analysis of data provided by the World Health Organization to determine the correlates of maternal mortality among all reporting na- tions worldwide. ...
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