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estimation相关的网络例句

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In Section 3,we give the simple narration aboutthe Bayesian analysis and Bayesian inference of the general linear model,and consider two specifica-tion of the general linear model.Based on these we give the point estimation,region estimation(includ-ing the high posterior density estimation)to the parameters and the predictive analysis of the generallinear model and so on.And in the final of this chapter we introduce some relative references about theBayesian analysis of Linear Model.

第三节就布罗米林对一般线性模型所作的贝叶斯分析与推断给出简单阐述,考虑了一般线性模型的两种设定,基于此给出一般线性模型参数的点估计、区域估计以及预测等贝叶斯分析和推断,并且介绍有关线性模型的贝叶斯分析的主要参考文献。

Dorea advanced kernel estimation p of p ,which is a general density with respect to a σ-finite measure v on.ξ is a σ-field of subsets of ER. Some qualities have been gotten. And it has been proved that those results consist of theories of classical kernel estimation for continual density and further extended theories of disperse kernel estimation.

Y Dorea在2001年提出了关于上的σ-有限测度v的一般密度函数P的核估计几,其中ER,ξ是E的一个σ-域,得到了一些结果,并且验证了所得结论包含经典的连续密度核估计的结论,还进一步延伸了离散分布核估计的结论。

In this paper,we propose a novel model named distribution-free data density estimation,which is based on distribution-free(i.e.,independent of data distributions) sampling on global cumulative distribution to achieve high estimation accuracy with low estimation cost regardless of distribution models of the underlying data.

分布无关密度估计算法首先将底层数据的任意分布转换成一中间分布——累计概率分布函数。由于累计概率分布函数的输出在[0,1]之间均匀分布,因此接着对累计概率分布函数的输出随机采样,可以准确估计当前网络中数据的密度分布。

Robust estimation, RLS Estimation, M estimation, Independent observations, Correlated observations, Function model, Random model, Outliers analysis, Outliers Confirmation, Outliers Disposal, Infectant Distribution, Equivalent weights, Equivalent variance-covariance

稳健估计,稳健最小二乘估计, M 估计,独立观测,相关观测,函数模型,随机模型,粗差分析,粗差定位,粗差处理,污染分布,等价权,等价方差-协方差

Two algorithms are put forward to solve the problem of on-board engine torque estimation, which is the key technology of Coordinated Control Algorithm. One is called the algorithm of engine torque estimation based on mean-value model and the other is called the algorithm of engine torque estimation based on instantaneous crankshaft speed.

在仿真研究的基础上,针对如何实现动态协调控制算法中的关键技术——发动机转矩在线估计提出了两种算法:基于发动机平均值模型的转矩估计算法和基于发动机曲轴瞬时转速的转矩估计算法。

The thesis analyzes the methods for parameter estimation of distributed sources in detail, and low complexity estimators, comes up with RELAX in parameter estimation and robust method of high resolution parameter estimators for distributed sources, and gives theory analysis and simulation results. The main work is:1 This text gives a study of the signal models of two kinds of distributed sources: coherent distributed sources and incoherent distributed sources, analyzes eigenvalue distribution of correlation matrix.2 Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.

论文详细分析了已有分布式目标参数估计方法及低复杂度的参数估计方法,提出了分布式目标参数估计的RELAX算法和具有稳健性的分布式目标高分辨估计方法,并给出了相应的理论分析和仿真实验结果。

To overcome the local optimal problem existing in some maximum likelihood DOA estimation algorithms, improve the estimation accuracy, a global optimal solution of nonlinear maximum likelihood DOA estimation is obtained by real-valued genetic algorithm proposed in this paper.

所提出的实数遗传算法由含实数域结构和目标函数信息的实数交叉和变异算子构成,是较理想的获取非线性实变量函数全局最优解的方法。

Lagrange multiplication operator was used to analyze the parameter estimation equation for obtaining the optimized estimation of parameters. Computer simulation result showed that this method is better than traditional least squares estimation.

计算机仿真的结果表明,该优于传统的最小二乘估计法,获得的估计参数是渐进无偏的,获得的估计参数的辨识精度更高,该参数约束估计法在系统辨识和参数估计领域具有极其重要的实际应用价值。

This study attempts to use the statistical techniques of multilevel confirmatory factor analysis to model the measurement of learning school. The analyses follow the four initial steps proposed by Muthèn: conventional CFA of total structure, estimation of between-group variation, estimation of within-group structure, and estimation of between-group structure.

本研究采用多层次验证性因素分析的统计技术来模式化学习型学校的量表,分析依循Muthèn(1994)所提出的四个先行检定步骤:对整体结构做传统的验证性因素分析、组问变异的估计、组内结构的估计,以及组间结构的估计。

Considering the effect of interval on the original estimation accuracy and noise factors, the optimal interval, which minimizes estimation errors, is derived. It is related with MT's velocity. In order to reach the optimal interval, joint velocity estimation and interval calculation are applied. Finally, the feasibility of proposed algorithms is discussed.

通过对AWGN信道下的COV速度估计精确建模,数值分析了协方差计算间隔对COV算法本身精度及噪声因子的影响;根据分析的结果,以归一化平均误差最小为目标对估计算法进行了改进,获得了基于COV的精确速度估计;最后还对算法的可行性进行了讨论。

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