1) sequential robust adjustment
序贯抗差估计
1.
A new method is presented to determine the original attitude based on the wavelet transform and three-parameter sequential robust adjustment.
基于小波变换和三参数序贯抗差估计,提出了一种新的确定捷联惯导初始姿态的方法。
2) sequential estimation
序贯估计
1.
The statistical inference of the electronic device's technical parameters based on sequential estimation method
基于序贯估计方法的电子器件技术参数统计推断
2.
The sequential estimation T is derived under balanced loss function and the superiority of the sequential procedure(T,T)in some sense is obtained.
对于均值μ和方差σ2均未知的正态总体N(μ,σ2),其均值的序贯估计是一个重要的问题。
3.
In this paper,the sequential estimation of the parameter of normal distribution is studied.
论述正态总体分布参数的序贯估计和Bayes序贯估计问题。
3) Bayes sequential estimation
Bayes序贯估计
1.
By designing data packet and data table with specific structure,and considers MA in multihop environments and adopts gradient of Bayes sequential estimation to dispatch MA.
移动代理被认为是无线传感器网络中解决数据融合的有效方法,但代理访问节点的次序以及总数对算法有较大影响,为此该文提出一种基于Bayes序贯估计的移动代理数据融合算法。
4) Robust Sequential Estimation
抗差序贯平差
5) robust estimation
抗差估计
1.
Study of the robust estimation method of inter-satellite ranging network;
星间测距网的抗差估计方法研究
2.
Parameter robust estimation of reach flood concentration model;
水库入库河段洪水汇流参数抗差估计研究
3.
A new fault location algorithm for transmission line based on robust estimation theory;
基于抗差估计理论的输电线路故障定位新型算法
6) robust estimate
抗差估计
1.
Being different from the previous methods, used to detect gross errors in observations,such as statistical test and robust estimate, a new method named as “Quasi Accurate Detection of gross errors”(QUAD) has been proposed in ref.
以往检验粗差有两类不同的方法 ,一类是假设检验 ,另一类是抗差估计。
补充资料：不合格百分率计数检验的序贯抽样方案
不合格百分率计数检验的序贯抽样方案
sequential sampling plans for inspection by attributes for percent nonconforming
加hege比ifen.o Jishu Jianvan dex叩uanC伙泪四叩fa叩’On不合格百分率计数检验的序贯抽样方案(se-quenti吐~plingp】川15 for inspection场attributesforpe二ni nonconfo丽ng)逐个地(或成组地)抽取个体，但事先并不固定它们的个数，根据事先规定的规则，直到可以做出接收或拒收批的决定为止。作为代表性的是IEC 1 123:l卯l标准。 设在n.抽试产品中出现;个不合格，且抽样方案给出:，h两数。判决规则如下:①如;n一h〕r，则接收;②如:n一h
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条