regression model造句
61 Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.
62 Examples in this paper show that the dummy variable can draw some quality markers which is impossible to be quantized into the linear regression model.
63 Results The effect of multicollinearity among variables were eliminated in the regression model and an ideal mathematical model was constructed.
64 Objective To research the relationship between the phospholipase activities and the random amplified polymorphic DNA(RAPD) bands of Candida albicans, and establish the regression model.
65 The multiple regression model is the most widely used vehicle for empirical analysis.
66 Then it establishes a stepwise statistical regression model. Finally, the model prediction effect is comparative analysis by comparing the characteristic parameters of the model.
67 The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.
68 Based on performance features of the mechanical air-flow meter, the regression model for the inspected data is monadic linear model.
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