广义非线性模型又称指数族非线性模型，它是普通正态非线性模型的推广。
The generalized nonlinear models (GNLMs), i. e. exponential family nonlinear models are the natural generalization of ordinary nonlinear models.
本文构造了非线性模型中参数的经验欧氏似然比统计量，并证明了该似然估计的强相合性和渐近正态性。
In this paper, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.
首先，使用局部线性方法给出模型的系数函数的初始估计；然后使用积分方法，给出它们的积分估计；进一步，研究这些积分估计的渐近正态性。
First, with the local linear method, the coefficient functions of the model are estimated, and then, with the integration method, their integrations are estimated.
首先，使用局部线性方法给出模型的系数函数的初始估计； 然后使用积分方法，给出它们的积分估计； 进一步，研究这些积分估计的渐近正态性。
The paper widens the application of local method which used to be utilized in rarefied flow to the quick prediction of aerodynamic characteristics of missile-like reentry vehicle in hypersonic flow.
首先，使用局部线性方法给出模型的系数函数的初始估计； 然后使用积分方法，给出它们的积分估计； 进一步，研究这些积分估计的渐近正态性。
The paper widens the application of local method which used to be utilized in rarefied flow to the quick prediction of aerodynamic characteristics of missile-like reentry vehicle in hypersonic flow.
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