基于极限状态函数矩估计的失效概率计算，提出一种新的可靠性灵敏度分析方法。
Based on the moment estimation of limit state function for calculation of failure probability, a new reliability sensitivity analysis method is presented.
在此基础上提出一种基于线性矩法的熵估计方法(POMELM)。
A new parameter estimation method (POMELM) based on POME and L-moment is proposed in the thesis.
数理统计学原理主要包括：参数估计、统计分布类型、分布拟合检验； 工程结构可靠度理论主要介绍了一次二阶矩方法。
Such as parameter estimation types of statistics distribution tests of distribution hypothesis methods of linear-second order moment, ect.
简要介绍最大信息熵原理及其概率估计方法，推导出二阶矩意义下的最大熵概率密度分布表达式。
The maximum entropy principle method and the corresponding probability evaluation method are introduced, and the maximum entropy probability distribution expression is deduced in two degree moment.
使用非参数估计方法给出条件密度和条件均值的估计，在此基础上给出参数的广义矩估计。
The conditional density and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.
对指数分布下的双截尾数据和分段数据，给出了其参数矩估计的一种新的方法。
A new method of moment parameter estimation parameter is given by double side censored data and interval data in the exponential distribution.
最大似然法采用了迭代的方法来估计噪声的协方差矩。
The estimation of noise covariance matrix is based on iterative procedure in ML.
通过假想水文资料检验这一方法，并与矩法的估计值相比较，结果表明本文提出的方法优于矩法。
The verification using ideal hydrographic data shows that the proposed method is better than the moment method.
并用广义矩方法进行参数估计，在多种指标的比较下得到了一个较好模型。
I estimate the parameters of different models by GMM, and obtain a better model under comparison by many indexes.
用一般矩方法进行混合高斯随机敬的参数估计需要计算多个非线性方程，改进后的矩方法把非线性方程化成了线性方程。
It needs more nonlinear equations to use the general moment method for parameter estimation of Gaussian mixtures. The improved moment method changes the nonlinear equations into linear equations.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
而GARCH模型参数估计的主要方法BHHH算法和广义矩方法在实际运算中常遇到中间数据震荡从而导致算法整体失效等。
But the methods of estimation of parameter of the GARCH models, BHHH and GMM, may become invalid because they usually meet the situation that the middle data fluctuate greatly.
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
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