并用递推的极大似然法辨识参数。
Recursive maximum likelihood is used to estimate the parameters.
对其中的参数分别用极大似然法和改进的矩法进行了估计。
The distribution parameters have been estimated with either the maximum likelihood method or a modified moment method.
本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。
An approximate maximum likelihood method is adopted for estimating ARMAX model parameters.
应用线性回归技术和极大似然法原理，给出了概率曲线及其置信限的估计方法。
A method for estimating the curves and their confidence bounds is developed by a linear regression technique and a maximum likelihood principle.
考虑整套试验数据的随机特性，利用极大似然法原理和数学规划法求解模型参数。
The parameters of model are measured by taking into account the stochastic characteristic of entire test data, which is connected with a maximum likelihood method and math programming.
而且通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应性。
Furthermore, by evaluating three parameters of wavelet coefficients "probability model using maximum likelihood method, self adaptively of the algorithm is achieved."
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
分析了等效系统参数辨识方法，采用最小二乘法与频域极大似然法求解先进飞机的低阶等效系统。
The methods of parameters identification are analyzed and low-order equivalent system is identified by frequency domain maximum likelihood method and least square method.
为解决这一问题，本文将极大似然法引入其概率图，提出了一种近似的参数估计方法并给出了算例。
To solve this problem, this paper provides a approximate parameter estimating method by using of the Maximum Likelihood method on the probability paper, and a calculation example is offered.
因此，至少应在现代地震台网的时空控制范围内，对C值进行扫描。本文的算法体系是以极大似然法加统一格式加时间窗滑动构成的。
Using present data from seismic station, we calculated value C with the algorithm which consists of the maximum likelihood method, united format and moving analysis method of time series data.
采用混合分布理论与极大似然法，拓展了适用于双单倍体群体（DH）和重组近交系（RIL）群体的质量-数量性状的遗传分析方法。
Using the mixture distribution model and the method of maximum likelihood, we developed the method for the genetic analysis of qualitative quantitative traits with use of DH and RIL data.
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and m…
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and maximum likelihood …
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；
A method is presented for estimating the location and dispersion effects from these experiments. Firstly, we estimate the variance and the mean of each cell with maximum likelihood;
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；
A method is presented for estimating the location and dispersion effects from these experiments. Firstly, we estimate the variance and the mean of each cell with maximum likelihood;
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