查询词典 estimators

But in continuous case suitable estimators for jump heighs are hardto find.

而在连续场合，跃度难以给出合适的估计。

As for jump heighs there are some differences be-tween the continuous and discrete cases.In discrete case we introduce the empiricalscale codfficients to estimate jump heighs base on location estimators given by theabove method.

关于断点的跃度，在离散模型场合，通过引进样本的尺度系数并利用位置的小波估计可得到跃度的相合估计。

A menu of 10+ spectral estimators from Steve Kays textbook, Modern Spectral Estimation, 1988, is available to choose from.

菜单10 +谱估计，从史蒂夫凯的 S教科书，现代谱估计， 1988年，是可供选择。

Consistency and asymptotic normality of the proposed quantile estimators are established under mild conditions, allowing for global misspecification of parametric copulas and marginals, and without assuming any mixing rate condition.

一致性和建议的分位数估计的渐近正态性温和的条件下成立，让全球误设的参数Copula函数和边缘人，没有担任任何混合率的条件。

Consistency andasymptotic normality of the proposed quantile estimators are establishedunder mild conditions, allowing for global misspecification of parametriccopulas and marginals, and without assuming any mixing rate condition.

一致性和建议的分位数估计的渐近正态性温和的条件下成立，让全球误设的参数Copula函数和边缘人，没有担任任何混合率的条件。

The fourth is Control Variates simulationalgorithm, which can reduce the estimators variance by eliminatingrandomicity.

本章提出的第四种算法是控制变量仿真算法，该算法的基础是找到一个与误码率估计正相关的变量，通过减弱样本的随机性而减小估计器的方差，从而减少仿真样本数。

In the multivariate case, the components of considered estimators are not just polynomials of the corresponding observed components only, but can be polynomials of all variates.

在数值计算结果中，我们发现在卜瓦松分布和常态分布的例子，分别考虑二阶和三阶多项式估计，都已能得到相当好的近似效果。

In the paper, Krein space is introduced, and the H_∞white noise estimation for linear systems (including both discrete-time case and continuous-time case) is considered with the help of re-organization of innovation analysis and projection formulation in Krein space, thus the estimators (mainly filters and fixed-lag smoothers) and the associated sufficient and essential conditions are given.

揭示出H_∞白噪声滤波问题实际上等价于Krein空间内的H_2白噪声滤波问题，而H_∞白噪声固定时滞平滑问题实际上等价于Krein空间内含即时观测和单时滞观测的系统的H_2白噪声估计问题。

By the modem time series analysis method, based on the ARMA innovation model, under the linear minimum variance optimal information fusion criterion, three distributed fusion steady-state optimal Kalman filters, predictors and smoothers weighted by matrices, scalars, and diagonal matrices are presented for multisensor systems with correlated input and observation noises, and with correlated observation noises. The Lyapunov equations and formulas of computing local filtering, predicting and smoothing error variances and covariances are given, which are applied to compute optimal weights. The corresponding three distributed fusion Wiener state estimators are also presented.

应用现代时间序列分析方法，基于自回归滑动平均新息模型，在线性最小方差最优信息融合准则下，对于带相关输入噪声和观测噪声和带相关的观测噪声的多传感器系统，提出了按矩阵加权、按标量加权和按对角阵加权的三种分布式融合稳态Kalman滤波器、预报器和平滑器，其中提出了局部滤波、预报和平滑估值误差方差阵和协方差阵的Lyapunov方程和计算公式，它们被用于计算最优加权，也提出了相应的三种分布式融合Wiener状念估值器。

Three pose angle estimators are presented and their estimation precisions are analyzed.

给出了姿态角的三种估计量并对它们的估计精度进行了分析。

Warden: That's a beautiful dog, but don't bring her again.

那是条漂亮的狗，但是不要再把她带来了。

You get up in the morning – no hangover!

你第二天早上起来的时候—不会宿醉！