在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。
The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.
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.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
然而当形状参数大于1时，样本对应的极大值和极小值统计量有着相反的一般随机序。
However, when the shape parameter is larger than 1, we only obtain that the minima is larger and maxima is smaller in stochastic order.
区分量化（描述性的）和分析（推断性的）研究的区别； 区分总体参数和样本统计量的区别。
Distinguish between enumerative (descriptive) and analytical (inferential) studies, and distinguish between a population parameter and a sample statistic.
区分量化（描述性的）和分析（推断性的）研究的区别； 区分总体参数和样本统计量的区别。
Distinguish between enumerative (descriptive) and analytical (inferential) studies, and distinguish between a population parameter and a sample statistic.
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