查询词典 estimation

Existing estimation methods,in our opinion,suffer from the shortcoming of point estimation of model parameters.

文献[1，2]较好地解决了单台系统可靠性增长模型参数的估计问题，文献[3，4]提出了两种不同的多台系统可靠性增长的模型参数估计方法。

An improved point estimation algorithm and a new Extended Kalman Filtering attitude estimation algorithm were put forward.

提出了一种改进的单点估计姿态求解算法和一种新的基于EKF姿态求解算法。

So in the point estimation, the Bayesian estimation can have better precision.

第二，在进行区间估计的时候，贝叶斯学派可以说某个参数落入某个区间的概率，而这在经典学派是不允许的。

This dissertation studies several kinds of instantaneous frequency estimation methods, pay much attention to the performance of instantaneous frequency estimation algorithm based on the peak of time-frequency distribution. It gives the theory and algorithm of polynomial Wigner-Ville distribution, analyzes its performance to the noise of the moving target in the air.

对常用的几种瞬时频率估计算法进行了研究，重点研究了基于时频分布峰值的瞬时频率估计算法的性能，给出了多项式Wigner-Ville分布的原理与算法，分析了在直升机定位这种特定情况下的有效性。

It establishes the prior information, according to historical information or the design experiences and the posterior distribution of the parameters on the basis of sample data, by which we can do point estimation or interval estimation, predict the future trend.

首先，作为可靠性评估的基础性工作，本文提出了贝叶斯预测模型用于配网元件原始参数的评估，引入由历史资料或设计经验形成的先验信息，并结合样本数据形成被估参数的后验分布；在此基础上进行点估计或区间估计，就可以对未来的变化趋势做出预测。

The speed estimation without speed sensor is an important trend of modern AC drive. This thesis has probed several primary algorithm of speed estimation and analyzed emphatically the algorithm of speed estimate based on model reference adaptive system. The results of simulation prove its feasibility.

无速度传感器转速估计是现代交流传动研究的一个重要方向，本文在探讨了几种主要的转速估计方法之后，着重分析了基于模型参考自适应系统的速度辨识算法，并通过仿真证明了该方法的可行性。

We use β likelihood estimation instead of maximum likelihood estimation to estimate the parameters of data's probability distribution function (modeled by Gaussian mixture models).

在确定数据所服从分布的密度函数的参数时，使用β似然估计来代替原模型中的最大似然估计。

In order to obtain the reliable and accurate headway distance data, a state space model for distance data filter is established and then a new data fusion and estimation algorithm based on Kalman filter principle is developed. Its recursion formula is obtained. Taking the distance measurements of machine vision and laser radar as inputs, this fusion and estimation algorithm can output more reliable and accurate fusion data in real time.

建立了距离滤波的状态空间数学模型，提出了一种新的基于Kalman滤波原理的距离数据融合估计方法，推导出融合估计的递推公式，对来自机器视觉和激光雷达的距离数据进行融合估计，以减少距离数据的噪声，提高其可靠性与准确性。

In chapter 1, regression models with censored data, LSE for censored regression models and LAD estimation for models with fixed censoring point are introduced. Then, we state our main results for LAD estimator of nonlinear regression models with randomly censored data, including consistency, boundedness in probability and asymptotic normality. The proofs of our main theorems are given in detail. In chapter 2, we state the main difficulty of obtaining numerical solution for censored LAD estimation, and recall the history of studies on this problem including some anterior algorithms.

在第一章，首先介绍删失线性回归模型的基本概念和性质，并对已有的估计方法，如最小二乘估计、固定点删失的最小一乘估计等做了简单的回顾；然后，把固定点删失线性回归模型的最小一乘估计方法推广到了随机删失、非线性模型的情形，并得到了估计量的一些渐近性质，如相合性、渐近正态性等；最后，给出主要结果的详细证明过程。

Based on the least square criteria and to ensure the convergence of kinetic parameter estimation, we suggested a weighted Levenberg-Marquardt algorithm which introduces a relaxation parameter to prevent estimation procedure from divergence.

本研究除了沿用LM以残差平方总合作为调整修正步伐的方法外，另外还考量动态参数个别收敛的情况。

In the negative and interrogative forms, of course, this is identical to the non-emphatic forms.

。但是，在否定句或疑问句里，这种带有"do"的方法表达的效果却没有什么强调的意思。

Go down on one's knees;kneel down

屈膝跪下。。。下跪祈祷