查询词典 estimation of error

The error of ultimate load prediction after retrofitting:the error of structure program and preliminary estimation are between respectively 35~80% and 25~40%, the reason of error results from the slight deformation between the fixed beam relation with brick arch and reaction force base.

砖拱补强后，其水平极限荷载预测之误差：值分析程式预测结果误差约在35~80%之间，推估公式预测结果误差约在25~40%之间，试验进时砖拱与底固定处及底与反基座产生微小变形应为误差源。

The error of ultimate load prediction of un-reinforced brick arch: brick arch will be simplified to portal frame are used to preliminary estimation, in-plane stiffness which only provides from vertical frame, the average error between -20~20%;Structure program are used to simulate brick arch with shell elements analyzed, the average error between -15%~10%.

未补强砖拱，其水平极限荷载预测之误差：推估公式中将砖拱简化为门形构架，其面内刚由垂直构材提供，平均误差在-20~20%之间；结构分析程式中将砖拱以壳元素模拟，平均误差在-15~10%之间。

First, this section analyzes the error drifts in bit rate adaptation transcoding, including error drift caused by motion re-estimation and error drift of the pixel-domain transcoding compared with the compressed transcoding.

首先，分析了码率调整型转码算法中存在的若干错误漂移问题：运动估计带来的错误漂移；相对于压缩域转码器，像素域转码器的错误漂移。

Begin from the chapter three, this text expound the fact of the algorithms that the channel estimation mainly, first of all, this text has been introduced and the important function of the channel estimation algorithm of Orthogonal Frequency Division Multiplexing ,on this basis, this text Introduce the detailed introduction of the channel estimation algorithm, also essentialing structure.

从第三章开始，本文主要论述了信道估计的算法。

A unified linear fusion model for information fusion estimation is proposed,and it can describe varied information including measuring information,apriority information,forecasting data and estimation information,and it lays a foundation for the theory frame of information fusion estimation.

提出信息融合估计的统一线性融合模型，使测量信息、先验信息、预测信息以及状态估计信息等均可用统一融合模型进行描述，为建立信息融合估计的理论框架奠定了基础。

Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric

高级统计推断理论：极限理论，渐进方法，渐进有效和估计的效率，加大似然估计，贝叶斯方法，泛函数的微商渐进性，基于样本的估计：（bootstrap 和 jackknife方法）；稳健性；独立数据的估计，非参数估计和经验。

And in the third chapter, we give the estimation of variance of the estimation value of each parameter by using the Delta method and show that the asymptotic property that the estimation value tend to the real value as X tends to be infinite.

在第三章中，我们利用δ-法给出了各参数估计量的方差，证明了当λ趋向无穷大时，估计值趋近于真值的渐近性质。

Therefore, a new hypergeometric distribution method is proposed for testability estimation and demonstration. Based on hypergeometric distribution, the maximum likelihood estimate method is applied in point estimation, and the Bayes formula is applied for interval estimation, hence a testability demonstration rule is provided.

基于故障检测成功数的超几何分布，利用极大似然法思想研究了RR(上标 FIC指标的点估计方法，利用贝叶斯公式研究了区间估计方法，并给出了测试性验证规则。

We first state general linear model, ridge-type estimator and general ridge-type estimator, and the constraint biased estimator. And then, we introduce some basic theory about matrix and some conclusion about the admissibility of estimator in Gauss-Markov model. In the third chapter, we discussion several equivalent characterization of the best linear unbiased estimation, we proved that admissible characterization of admissible of linear estimation is as conditional general ridge-type estimation in general linear model. A necessary and sufficient condition that homogeneous linear estimator is admissible estimator is obtained.

本文首先概述了一般线性模型，岭估计及约束岭估计的发展历史和研究现状，在第二章介绍了矩阵的一些基本知识和可容许性的一些基本结论，第三章讨论了一般线性模型最佳线性无偏估计的几个等价条件，以及线性估计的可容许性特征，得到了一般线性模型的可容许线性估计均具有条件广义岭估计的形式，给出了一个齐次线性估计为可容许估计的充分必要条件。

Based on the invariance of maximum likelihood estimation, the sufficient and necessary condition under which the maximum likelihood estimation has invariance for the parameters are given, then it uses this conclusion to calculate the maximum likelihood estimation of σ^2 and ρ for bivariate normal distribution.

根据参数极大似然估计不变性原则，给出在一定条件下极大似然估计具有不变性的充分必要条件，并利用该结论计算了二元正态分布Z=的未知参数σ^2和ρ的极大似然估计值。

Salt is good, but if the salt becomes flat and tasteless, with what do you season it?

14：33 盐本是好的，盐若失了味，可用什么叫它再咸呢？

He reiterated that the PLA is an army of the people under the leadership of the Communist Party of China.

他重申，人民解放军是在中国共产党领导下的人民军队。