RRDtool is an open source, high performance data logging and graphing system for time series data. RRDtool是一个开放源码的高性能数据日志记录和绘图系统,用于处理时间系列数据。
The model is run as a time series. 模型作为时间序列运行。
A nonlinear time series analysis method has been used for reconstruction of sea surface temperature ( SST) anomalies. 用非线性时间序列分析方法对海平面温度距平场进行重构。
This paper presents an analytical method of monitoring data based on the time series modeling. 文中提出了以时序建模为基础的智能健康住宅监护数据分析方法。
Therefore in this paper, theory and some methods of multi& variable time series are discussed. 因此本文对多变量时序分析作了一些理论和方法的探索。
Trends in dengue incidence were analysed using the Prais – Winsten generalized linear regression model for time series. 利用Prais–Winsten生成的时间序列线性回归模型对登革热发病率趋势进行了分析。
This paper studies algebraic modeling of discrete time series. 主要研究离散时间序列上的代数模型。
The results show that the prediction model of chaotic time series based on wavelet de-noising and LS-SVM is better. 实例表明,基于小波消噪和LS-SVM的混沌时间序列预测模型具有较好的预测效果。
This paper proposes a new linear fitting method for time series. 提出一种新的时间序列线性拟合方法。
A new method that applies wavelet analysis and time series theory to air conditioning load forecasting was presented. 提出将小波分析和时间序列应用于空调负荷预测;
Finally, we present methods for combining time series expression data with static data to reconstruct dynamic regulatory networks. 最后,我们提出了结合时间序列表达数据和静态数据来构建动态调控网络的方法。
In simulation of wireless channels, correlated time series with special statistical characteristics and correlation are needed. 在对无线信道的仿真分析中,需要构造出具有一定统计特性和相关关系的时间序列。
A method of chaotic time series prediction problem based on local dynamical similarity is proposed. 基于混沌系统局部特征,提出了一种局部动力相似的混沌时间序列的预测方法。
This paper proposes an improved adding-weight one-rank local-region method for prediction of chaotic time series. 提出了一种用于混沌时间序列预测的改进型加权一阶局域法。
This paper imported an algorithm which was based on the pattern representation of time series extract outlier value. 提出了一种基于时间序列的模式表示提取时间序列异常值的异常检测算法。
We introduce a as a base-scale entropy complexity measure for analyzing time series. 本研究提出一种基本尺度熵方法来探讨时间序列的复杂性。
The time series varying series and the latest time sub-series are defined. 给出了时间序列的变化序列和最近时间子序列的概念。
In this chapter we discuss one of the few abundant sources for temporal information, time series expression data. 在这一章中,我们讨论了时间信息的一些丰富来源中的一种,时间序列表达数据。
Application Research on Software Reliability Modeling with Time Series Theory 时间序列理论在软件可靠性建模中的应用和研究
A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method. 结合现代时间序列分析方法,并根据新息模型设计了状态最优滤波器。
The nonlinearity of monthly rainfall time series in Yunnan province is investigated by using the theory of complex system. 应用复杂系统理论和方法研究了云南地区月降雨量时序数据的非线性特性。
Both of them use the technique of fractional differencing to remove the long-range dependence in the time series. 首先它们都通过分数差分的方法消除时间序列中的长相关性,然后分别用模糊自回归模型进行建模或预测。
Method Explaining changes of hospital indexes through drawing time series sequences and computing partial correlation coefficients. 方法通过绘制时间序列图和计算指标间的偏相关系数说明医院住院指标的变化情况。
In this paper, we present a nonparametric approach for checking the residuals of time series models. 提出一种时间序列模型残差诊断捡验的非参数方法。
In this paper, wind speed time series simulation methods and AIC rule is elaborate. 阐述脉动风速时程模拟的方法和AIC准则。
The spectral analysis method of the mine discharge's time series and its application; 以此为基础,提出了矿井涌水量时间序列分析的域重新标度法。
A method is proposed to detect lag-dependence between linear and directional time series. 我们建立了一个方法去探测线性与方向性时间序列的分段相依。
In this paper, the outlier mining method for time series data is investigated. 针对时序数据进行离群数据挖掘方法的研究。
For a non-linear system excited by random load which expressed as a time series, a recursive method based on the Z-transform is presented and developed. 对时间序列信号随机载荷激励下的非线性系统,提出和发展了一种基于Z变换的递归方法。