The strong consistency, asymptotic normality and asymptotic efficiency of these methods are proved.
我们研究了这些方法的强相合性，渐近正态性和渐近有效性。
2
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.
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。
3
The consistency and asymptotic normality behaviors are also investigated for the estimators.