1) stratified-random-sampling
分层随机采样
2) random sampling
随机采样
1.
Design of Embedded Random Sampling System;
基于嵌入式的随机采样系统设计
2.
The principle and method for getting the precise values of periodic signal by random sampling and data process of window function, FFT, weighted computation are detailed in this paper.
本文论述了随机采样 ,窗函数、FFT、加权计算等数据处理获取周期信号精确值的原理和方法 ,以及该原理和方法在实际振动检测中的应
3.
In order to compensate the nonlinear errors induced by the rectification for high frequency vibrations in the inertial measure unit (IMU), the paper presents a new random sampling method.
为了补偿由于惯性敏感元件高频振动整流所引起的非线性输出误差,研究一种新的补偿方法——随机采样法。
3) Random sample
随机采样
1.
Considering the demand of reliability on measuring and controlling system of corrupt fatigue experiments powered by oil-pressure, A kind of methods of FFT weighted computation of random sample is put forward.
针对液压腐蚀疲劳试验测控系统对可靠性的要求,提出了一种基于随机采样FFT加权算法的测控方法。
4) stochastic sampling
随机采样
1.
Then,it makes the approximate reasoning to the ASG by stochastic sampling.
针对大规模计算机网络的脆弱性评估,提出了一种基于贝叶斯网络近似推理的评估方法,对网络各组件和影响网络安全的因素进行建模,采用模型检测工具生成攻击状态转移图,描述网络脆弱性的利用过程,通过采用随机采样的方法对网络的攻击状态转移图进行近似推理,经过对采样样本的统计分析得到网络脆弱性评估的量化结果,为提升网络的安全性能提供理论依据。
6) stratified random sampling
分层随机抽样
1.
The simple random sampling plan and stratified random sampling plan has been introduced and the application means and effects of which also has been presented,it has some characteristics such as material precision and obvious reduce of sample size,and rational advice has been presented.
介绍了简单随机抽样和分层随机抽样方法及其在检测中的应用方法和效果。
2.
Though stratified random sampling method is adopted for the arterial and collector functional systems,there is a good potential to improve it.
尽管分层随机抽样的方法已经在干线和一般的集散系统得到利用,它仍有很大的发展空间。
3.
Therefore, the minimum variance and deviation methodology was introduced, based on which, stratified random sampling technology was used for sample design, and thus making an overall assessment more truly on water quality in distributi.
为此提出以最小方差和偏差的方法论,采用分层随机抽样技术进行样本设计,从而对管网水质进行较为真实的全面评价,同时对影响管网水质的因素进行分析。
补充资料：随机数和伪随机数
随机数和伪随机数
random and pseudo-randan numbers
随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了，a如曰e”nce，口oc月卿成.以叹“c月a】 数亡。(特别，二进制数:。)，其顺序出现，满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的，前者由随机的装置来生成，而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质，这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O，l]上均匀分布的随机数亡。，尸(亡。
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