查询词典 moving average

Currently the Dow is 32.6% below its moving average, not far from its 34% undershoot on Nov.

目前道指比移动平均线低32.6%，接近11月20日的34%，那刚好是在出现反弹之前。

00 Known moving average digital filter unit for pulse response h = [k = 0,1,2 1,1,1] Calculation y = x * h , the same is likely to draw a map before 50 y s and x waveform sequence comparison y s and .

已知3点滑动平均数字滤波器的单位脉冲响应为h=[1，1，1 k=0，1，2]，计算y=x*h，在同一张图上绘出前50点y，s和x的波形，比较序列y和

This dissertation proposed a new linear algebraic approach—Cumulant Enhancement All Vector Orthogonal Subspace for identification of a nonminimum phase moving average model.

实验分析表明双谱在故障诊断中有较强的特征提取作用和高斯噪声抑制能力。

The white metal lost 20 cents to settle at $13.310/oz and crossed below the 9 day moving average.

白银损失了20美分，在每安士$13.310结算，并跌穿了9日移动平均线。

An information fusion technology was successfully coupled to the analysis of original weak electrical signals in Bellis perennis, which consisted of a touching testing using platinum sensors in a system of self\|made double shields, the signals denoised by the wavelet soft threshold and a forecast system of time series by the autoregressive integrated moving average constructed with plant characters of electrical signals.

将自制的具有铂金传感器的双重屏蔽微弱电信号测试系统，所获取的植物微弱电信号、小波软阈值消噪、时间序列的求和自回归移动平均模型等单因素分析耦合成信息融合技术，对雏菊电信号时间序列进行了数据融合分析预测。

The parameter estimation problem to the invertible vector moving average model essentially is a matrix spectral factorization problem.

中文摘要：可逆的向量滑动平均模型参数估计问题本质上是一个矩阵谱分解问题。

Technical trading rules ; moving average rules ; nonsynchronous trading ; transaction cost

技术分析规则；移动平均线；异步交易；交易成本

Panos Konstas,A Moving-Average Formula for CalculatingDeposit Insurance Assessments, FDIC BANKING REVIEW,2005

张亚涛（2003），存款保险定价模型之探究，国际金融研究，2003年第11期

In general, the main contents and achievements of this paper consist of the following aspects:(1) Based on the characteristics of the transportation and the classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent.

本文根据交通领域的流量—时间占有率的倒&V&字型曲线模型，提出了一种基于曲线拟合的交通流异常检测方法，利用三次多项式的最小二乘法拟合流量/时间占有率曲线，并且利用分箱的思想对拟合好曲线上下部分分别采用基于统计的方法划分上下界，有效的识别异常交通流数据。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

The father that if work,mad father, love annoys, disposition is too indrawn the be short ofing that the father of Mu Ne, resign oneself to adversity causes father easily to love is broken; Communicate time effectively between father and son, Mu Zizhi to be less than a hour on average to wait a moment every week, it is the cause that causes the child to become addiction.

如工作狂的父亲、爱愤怒的父亲、性格过于内向木讷、逆来顺受的父亲都易造成父爱的缺失；父子、母子之间的有效沟通时间每周平均小于一小时等等，都是造成孩子成瘾的原因。

These are vandal proof and they come with a locking mechanism.

这是野蛮的证据，他们来到了锁机制。