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Introduces multiple regression methods for causal inference and descriptive analysis in economics and related disciplines.
Multiple regression methods were applied to understand the relationship between process parameters of the friction stud welding process.
Multiple regression methods were used to derive an adaptive thresholding algorithm and to test its dependence on different conditions of attenuation and scatter.
Multiple regression methods namely stepwise selection procedure, ridge regression and all-subset regressions were used to analyze the supersaturated design results according to a four step procedure.
Most previous research studies on the general factors related to the adoption of mobile services have used multiple regression methods (the technology acceptance mode or structural equation modeling) and some have used MCDM tools.
Therefore, RRegrs permits users, irrespective of their programming or statistics experience, to predict any type of numerical output using multiple regression methods.
Similar(43)
Multiple regression method is adopted to process the test data and obtain the related hydrodynamic coefficients.
Taguchi's technique is used as experimentation method and multiple regression method is used in order to optimize machining parameter for minimum surface roughness.
The experiments were conducted based on four-factor five level central composite rotatable design with full replications technique and having mathematical models developed using multiple regression method.
The experimental correlation equations were developed for the heat transfer and pressure drop performances of a wavy fin heat exchanger by the multiple regression method.
Lastly, a mathematical model was developed using multiple regression method to formulate the pulse-on time and pulse-peak current to the surface roughness.
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