对于经典回归分析模型来说，人们一般都是假定其响应变量为连续型变量。
Regarding the classical models of regression analysis, people generally assume that its response variable is the continual variable.
目的放宽经典线性模型中的多个解释变量的线性假定和探讨多维样条回归分析模型。
Objective to relax linear assumption of explanatory variables in general linear model and explore more-dimensional spline regression analysis model.
目的放宽经典线性模型中的解释变量的线性假定和探讨半参数回归分析模型。
Objective To relax linear assumption of explanatory variable in classical linear model and explore semiparametric regression model.
作为多元回归模型的推广，传递函数模型建模的假定较少，容易得到满足，在现实的系统中有着广泛的应用。
As the extension of multiple regression model, transfer function model needs less presuppositions, thereby satisfied with condition easily, applied to practical system extensively.
作为多元回归模型的推广，传递函数模型建模的假定较少，容易得到满足，在现实的系统中有着广泛的应用。
As the extension of multiple regression model, transfer function model needs less presuppositions, thereby satisfied with condition easily, applied to practical system extensively.
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