讨论矩约束条件下的广义经验似然比统计量族以及相应的性质。
The family of generalized empirical likelihood ratio statistics with moment restrictions, which is a generalization of Baggerly, is investigated.
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.
最新的文献表明这个提出的修正似然比检验统计量在零假设下的渐近分布是比较简单，并且是容易应用的。
It is shown that the asymptotic null distribution of the modified likelihood ratio test proposed is derived and found to be relatively simple and easily applied.
给出了正态总体均值和标准差的最大似然估计（M LE），似然比检验统计量及其渐近分布等结果。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
对给定的寿命试验数据x，利用似然比检验法可对该数据是来自截尾指数分布还是截尾正态分布进行判别，但却很难求出似然统计量的分布形式。
For a life data x, whether it comes from the censoring exponential distribution or the censoring normal distribution, it can use the likelihood ratio test to make a decision.
证明估计的强相合性和渐近正态性，给出似然比检验统计量的极限分布，并讨论基于精确分布的检验问题。
The limit distributions of estimators and likelihood ratio test are given, the strong consistency of estimators is also proved.
根据似然比检验原理提出了一种新的机床切削颤振监测统计量，能识别切削过程中产生的信噪比为0.15的微弱振动成份。
Based on the likelihood ratio test theory, a new detection statistic is proposed in this paper for monitoring the machine tool cutting chatter development.
根据似然比检验原理提出了一种新的机床切削颤振监测统计量，能识别切削过程中产生的信噪比为0.15的微弱振动成份。
Based on the likelihood ratio test theory, a new detection statistic is proposed in this paper for monitoring the machine tool cutting chatter development.
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