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.

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经验似然方法已经被广泛应用于许多模型的统计推断。

The empirical likelihood method has been extensively applied to many models of statistical inference.

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