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Admissibility is one of the important criterions to compare the goodness of estimators in the view of statistical decision.

可容许性从统计判决的角度来衡量估计的优良性,是衡量估计优良性的重要准则之一。

In allusion to dynamic nonlinear large-scale industrial processes, to bring up gained the method of decentralized identification for the strong consistency estimates of the divisible steady-state models, it is used that property of polynomial can infinitely approach to the nonlinear function and in optimization processes use step signals as input signals, the divisible steady-state models of dynamic nonlinear large-scale industrial processes, and the cognizable conditions are obtained.

针对动态非线性大工业过程,提出了得到其可分稳态模型强一致性估计的分散辨识方法;利用多项式对非线性函数的无限逼近的性质和优化过程中设定点的阶跃信号作输入激励信号,获得了动态非线性大工业过程的可分稳态模型和可辨识的条件。

Purpose To compare restricted estimation maximum likelihood to markov chain monto carlo for genetic variance component model of quantitative trait in nuclear family.

目的 比较限制性最大似然估计和马尔可夫链蒙特卡罗方法在数量性状遗传方差分量模型中参数估计的偏差和精度。

Instead of multidimensional nonlinear search or iterative computation, the algorithm just uses a one-dimensional search and can reduce the computation burden.

算法的波达方向估计只需一维谱峰搜索,避免了通常多参数联合估计的多维非线性搜索及迭代运算,可明显减小算法运算量。

The empirical approximation methods can be applied to study uniform consistency, robustness, strong consistency of the maximum likelihood estimator of statistical estimators.

本文采用的经验逼近方法可应用于研究随机规划统计估计问题的一致相合性、稳健性、极大似然估计的强相合性。

Generalized linear models, which can model a large variety of data, have a wide area of application. The class of GLMs includes, as special cases, linear regression, analysis-of-variance models, log-linear models for the analysis of contingency tables, logistic models for binary data in the form of proportions and many others. Usually, the parameters in the generalized linear models are estimated by the method of maximum likelihood . But, in the literature, the nonrobustness of the maximum likelihood estimator forβhas been studied extensively. The quasi-likelihood estimator of the parameter of the generalized linear model shares the same non-robustness properties.

广义线性模型,可用于对多种类型的数据进行建模,是应用非常广泛的模型,线性回归模型、方差分析模型、用于列联表分析的对数线性模型和逻辑斯谛模型等都是广义线性模型的特例,通常,我们用极大似然的方法估计广义线性模型中的参数,但是,在文献中,对参数β的极大似然估计的非稳健性已经有了广泛的研究,广义线性模型的拟似然估计也显示了非稳健性。

Comparing with the other two existing algorithms, this algorithm solves the problem of noneffective to low SNR values and raises the estimation performance obviously

与现有的另外两种算法相比,不但解决了对低信噪比值无法估计的状况,使估计性能有了明显的提高,而且运算复杂度也可根据需要降低到可以接受的程度。

Based on filtering theory, a residual life predict model is set up according to condition information, and a general formula of parameter estimation is deduced using maximum likelihood estimation, thus, when the life distributing of an equipment is known, the model can be rapidly educed by taking the distribution into the formula is educed, and its residual life can be predicted without complex iterative process is predicted.

利用滤波理论,建立了基于状态信息的剩余寿命预测通用模型,并推导出采用极大似然估计法下参数估计的通式,使得在已知寿命服从其他任何分布形式时直接代入通式便可快速地得出其模型,从而预测其剩余寿命,省去了复杂繁琐的迭代过程。

As a transform of natural reasoning, subjective probability estimate, as long as heuristic become the new study point of heuristic probability estimate.

启发式概率估计的研究范式能够将启发式理论假设与概率估计的可量化特点结合起来,可以更好地以实验的方法探索启发式推理的内部机制。

On the approximate uncorrelation property of DWT coefficients of LMSV process in the same scale and different scales, first the quasi maximum likelihood estimation method of parameters and the estimation method of volatility process of LMSV model are presented.

根据小波变换可将过程分解到不同的尺度上以及LMSV过程同一尺度下和不同尺度下DWT系数的近似不相关性,提出了建立局部似然函数的方法,又根据DWT系数和MODWT系数之间的关系,将局部似然函数表示为模型参数和局部小波方差估计的形式,并用该方法对中国股市收益进行了时变LMSV模型参数的估计。

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