讨论一般结构关系度量误差模型的大样本理论，给出了未知参数的一个强相合估计。
The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.
对极值指数之矩估计量作了进一步的推广，并证明了其强、弱相合性。
The moment estimators are extended and their strong and weak consistency are proved.
利用核函数法和广义最小二乘法给出了一般变系数ev模型系数参数的估计，得到了估计的强相合性。
In this paper, the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
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.
并在十分广泛的条件下，论证了基于样本数据所得到的洛伦兹曲线和基尼系数的估计量都具有强相合性。
Under the general condition, the usual estimators of Lorenz curve and Gini coefficient are proved to possess strong consistency respectively.
作者用模型选择的方法提出了一种程序以估计转变点的个数及位置，然后建立了这些程序的强相合性。
The authors propose some procedure for estimating the number and locations of change points within the framework of model selection, and establish the strong consistency of these procedures.
本文在截尾样本下构造了失效率的一种截尾非参数估计，并给出了其均方收敛及强相合性的局部一致收敛速度。
In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergence in mean square and strong consistency are given respectively.
本文证明了这种估计的强相合性，并讨论了其优效渐近正态性。
In this paper, we prove the strong consistency of the estimate, its efficiency asymptotic normality is discussed, too.
利用局部矩的概念，得到了关于局部矩估计的两个结论：一，局部矩估计具有强相合性；
Two results of the local moment estimation are obtained by using the concept of local moment. First , the local moment estimation has consistency.
讨论了在适当条件下，密度函数核估计的一致强相合性。
Under certain conditions, We discuss the uniform strong consistency of kernal estimator for the density function.
文中我们讨论了更新过程中分布参数的最大似然估计，证明了最大似然估计是强相合的。
The Maximum Likelihood Estimator (MLE) of the parameter of interarrival distribution based on renewal process is discussed. It is obtained that the MLE converges strongly to the true parameter.
本文在一定的条件下证明了基于NA样本序列的递归型密度核估计的均方相合性和逐点强相合性。
In this paper, based on NA samples, we will prove that recursive density kernel estimators are consistent inr-order mean, and the pointwise strong consistency under suitable conditions.
第四章讨论了序贯指数模型的极大似然估计的强相合性和渐近正态性，并进行了证明。
In Chapter 4, we discuss and prove the consistency and asymptotic normality of maximum likelihood estimate to the exponential models.
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.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
在较弱条件下证明了所获得的估计的强相合性，并给出了收敛速度。
And the strong consistency of the parameters estimation in this model is proved under some weaker conditions. It is also given that almost sure convergence rate of these estimates.
在较弱条件下证明了所获得的估计的强相合性，并给出了收敛速度。
And the strong consistency of the parameters estimation in this model is proved under some weaker conditions. It is also given that almost sure convergence rate of these estimates.
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