regression technique
Shear strength assessment of self compacting concrete beams using lasso regression technique
... Multiple regression models implies multiple ...regression technique. Table. 3 gives the coefficients of the different regression models in predicting shear capacity of self-consolidating ...
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Measuring the Effect of Direct and Indirect Costs on the Revenues of Kofa Cement Factory using the Multi Linear Regression Technique
... linear regression technique was applied because of its role in determining which costs have the greatest effect on revenues in order to ensure that revenues remain at the same value with the cost reduction ...
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Using Multivariable Linear Regression Technique for Modeling Productivity Construction in Iraq
... Productivity is a very important element in the process of construction project management especially with regard to the estimation of the duration of the construction activities, this study aims at developing ...
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Title: Predictive Modeling: Data Mining Regression Technique Applied in a Prototype
... Regression technique can be adapted for predication. Regression analysis can be used to model the relationship between one or more independent variables and dependent ...logistic regression, ...
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APPLYING REGRESSION TECHNIQUE ON ENVIRONMENTAL DATA BY WEKA
... This research gives a valuable knowledge on air pollutants pattern and its factors. This previously unknown knowledge is mined from the dataset provided us by a power industry in Andhra Pradesh State. Coming to an end, ...
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On The Use Of Quantile Regression Technique For The Analysis And Estimation Of The Determinants Of Wage Differential Of Workers In Nigeria
... Quantile regression has appeared as an alternative to least squares in a wide range of ...median regression provides a consistent estimator of the conditional median without assuming a specific form for the ...
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Volume Table of Raintree (Samanea Saman) in Bangladesh by Regression Technique
... The local volume tables for important village tree spe- cies such as am, jackfruit, jam, mandar, etc were pre- pared separately by regression technique during Village Forest Inventory in 1981 [2]. The ...
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Improving the vector auto regression technique for time-series link prediction by using support vector machine
... Support Vector Machine (SVM) is a well-known learning model that is used mainly for classification and regression analysis. It computes for a maximum-margin hyperplane that separates the two classes of instances ...
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A STATISTICAL MODEL FOR THE 2G, GSM COMMUNICATION SYSTEM IN UTTARAKHAND USING MULTIPLE REGRESSION TECHNIQUE
... This paper proposes a statistical model for 2G,GSM communication system based on the multiple regression formula, which can be used to predict the path loss in suburban areas. The proba[r] ...
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Noise Exposure Parameters of Auto Rickshaws Compare by Statistical Regression Technique
... (i) Regression lines: Consider the problem for an individual, the value of one variable is x, the other variable is y. It would be necessary to express the relationship between x and y in a mathematical form to ...
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Statistical Relationship between Acceptance Rate and First Decision Time of Some Indexed Journals: A Correlation Regression Technique
... and regression analysis are very ...a regression model for time series of ...some regression models in their work: Multivariate data ...quantile regression for longitudinal ...quantile ...
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Crossbreed Regression Technique for House Prices Prediction
... as regression, classification, neural community and deep ...beneficial regression algorithms to ...therefore regression algorithms with parameter extra than 10000iterations are ...of ...
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Short Term Electric Load Prediction by Incorporation of Kernel into Features Extraction Regression Technique
... square regression and kernel principal component regression, and both of them are carried out by polynomial and Gaussian kernels to map the original features’ to high dimension features’ space, and then ...
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Soil Properties Prediction using Ensemble Regression Technique
... ensemble technique. The results showed that the stepwise regression models based on ensemble technique and the spatial distributions of the soil properties such as ph level, calcium carbonate, ...
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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
... Thus, the general equation consisted of five independent variables namely land-use, traffic intensity, road network, distance to the main road, and population density. Due to the heterogenous nature of the independent ...
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Copper Price Prediction Using Support Vector Regression Technique
... Vector Regression (SVR) are widely used for making forecasts ...non-linear regression problems, it is called Support Vector Regression ...Vector Regression method belonging to the field of ...
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Optimal Parameter Design by Regression Technique and Grey Relational Analysis
... [1] G. Taguchi, Taguchi Methods. Research and Development. Dearborn, MI, American Suppliers Institute Press, 1991, Vol. 1. [2] A.R. Khoei, I. Masters, D.T. Gethin, “Design optimization of Aluminium recycling processes ...
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A technique of fuzzy c mean in multiple linear regression model toward paddy yield
... linear regression model and fuzzy c-means in multiple linear regression technique toward paddy ...linear regression analysis and fuzzy c-means technique analysis will be compared by ...
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Spatial Modeling of Residential Crowding in Alexandria Governorate, Egypt: A Geographically Weighted Regression (GWR) Technique
... local regression technique that assumes non-stationary (non-static) in relationships between response variable and explanatory ...allows regression coefficients to vary across the study ...
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Identifying Unusual Observations in Ridge Regression Linear Model Using Box Cox Power Transformation Technique
... in regression analysis is now common; in the last two decades there has been emphasis on diagnostics methods for Box-Cox power transformation, much of which has involved deletion of influential data ...unbiased ...
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