models are linearized transformations that are applied to the variables, the regression model. So, for example, a model of … estimation of parameters is made by numerical methods. Linear regression model is based on the series of data for the two … a model is needed. Other factors that influence the score variable are grouped in the residual. Uni-factorial nonlinear …

model is integrated approach of wood raw material use in the TIC branches, based on use the structural analysis and system …

realistic gating kinetics of the channel under investigation. Developing a realistic gating model based on measurements involves … two tasks. The first task is selection of an appropriate gating model that specifies the number of states and the rate … currents, a state model for gating kinetics of sodium channel in dissociated cerebellar Purkinje neurons from rats is developed …

and IIC should be available. As in the case of two-variable regression, this means that the residual factors has to be …

The multiple regression is a tool that offers the possibility to analyze the correlations between more than two … regression is the method of least squares. As in the two-variable regression, we choose the regression function of sample and …