参数估计法采用多元线性回归分析法。
The parameter estimation method is multiple linear regression analysis.
用非线性参数估计法对四氢萘加氢裂化反应网络的拟一级动力学常数进行了计算。
The pseudo-first-order kinetic rate constant of each step in the network of hydrocracking of tetralin was evaluated by the nonlinear parameter estimation method.
方法：对疟疾发病率曲线进行非线性过程的幂函数拟合，并与用曲线参数估计法的幂函数拟合结果进行对比。
Methods:Power model of non-linear regression was adopted to fit the curve of incidence of malaria, which result is contrast with the same model came from curve estimation method.
针对MAP法提出了具体算法和参数估计方法。并提出应用图象分割法来提高计算机复原速度，节省存储空间。
We derive the algorithm and parameters estimate method for the MAP restoration, and propose the image sectioning to speed up the restoration and save memory space.
模型参数估计LS和IVLS法在回旋窑烘干过程的开环辩识中都得到了应用和推广。
Both the LS and the IVLS parameter estimation techniques are successfully tested for open-loop idendification of rotary drying process.
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.
提出了在用改进雨流计数法进行载荷数据统计时结合载荷分布参数估计的变差系数法，可简化统计处理过程，提高计算速度。
Differential coefficient method together with distribution parameter estimation is put forward, so that the data processing may be implemented on a computer, thus greatly reducing calculation.
本文着重研究了在实际施工中，利用卡尔曼滤波法进行参数估计的具体做法。
In this thesis, the specific parameter estimating by Kalman filter method was investigated under actual construction.
本文导出了预测反卷积法（PDC）的多步迭代形式，以改进参数估计。
The algorithm uses a predictive model that makes whitening treatment of the obsevations and a predictive deconvolution (PDC) method to estimate the MA parameters.
利用正交多项式序列的正交性及微分算子矩阵，论述了时变非线性分布参数系统参数估计的正交多项式法。
New method of parameter estimation for time varying non linear distributed systems is proposed in term of orthogonality of orthogonal polynomial and differential operation matrix.
最后，用一个假设的例子说明以往在用波幅衰减法和时滞法进行参数估计时，忽略淤泥层的存在可能会导致估计偏差。
Hypothetical example shows that neglecting the silt-layer may results in significant parameter errors and parameter estimation discrepancy between the amplitude attenuation and the time lag methods.
为了提高新息改进GM(1,1)模型的预测精度，引入累积法对新息改进GM(1,1)模型的参数进行估计，给出了新的参数估计公式。
In order to improve the forecast precision of modified GM (1, 1) model, a new parameter estimation formula based on accumulating method to modified GM (1, 1) model is proposed.
估计结果表明，样条函数法是非线性参数估计的重要方法之一。
The estimation result show that spline function method is one of important methods for nonlinear parameter estimation.
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.
对于参数估计量的标准差，我们则是利用拔靴法来估计，其结果的表现也与仿真的标准差很接近。
Results show that the proposed weighted regression calibration method is the most efficient and that the standard errors estimated using a bootstrap procedure are satisfactory.
对回归模型进行参数估计时，常用的两种重要方法是普通最小二乘法和最大似然法。
We often estimate the return model parameter by ordinary least squares and maximum likelihood.
以解析法和图形估计法进行复杂概型参数估计有时难以得到优良的拟合结果，为此提出复杂疲劳概型参数估计方法。
It is difficult to obtain the fitted results by using the analysis method and graph estimation when making complex probability parametric estimation.
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.
本文在分析普通移动窗法的基础上，对计量经济模型的时变参数估计问题，提出了一种新的估计方法—最优移动窗法。
The problem of estimating time-varying parameters of econometric models is discussed, by analysing the normal moving window method. A new estimation method-optimal moving window method is proposed.
文中给出了利用这种估计法对多分量混合一元高斯分布进行参数估计的实例。
Examples on the application of this algorithm are also given for estimating the parameters of the mixtures of M(M is a posivive integer) univariate Gaussian distributions.
处理生存分析观测数据使用的参数估计方法有很多，极大似然估计法是最常见的一种估计方法。
There are many methods to deal with measuring data in survival analysis. Maximum likelihood estimation is the most popular one.
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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