R还具有更多用于时间序列分析的工具。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
最后给出了用于时间序列分析的动态贝叶斯网络的实例。
In the last, we give an example of dynamical Bayesian networks for time series data analysis.
本文从时间序列分析的新观点阐述自适应信号去卷问题。
Adaptive signal deconvolution problem is reviewed by the new view point of the time series analysis.
时间序列分析方法是建立变形测量预测模型的主要方法。
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.
本文主要研究非线性动力学方法在时间序列分析中的应用。
This paper focuses on the application of nonlinear dynamical methods in the analysis of time series.
刺槐蜂蜜日产量的时间序列分析AR(1)模型相关系数？
Robinia Robinia honey is estimated by time series analysis AR (1) model, related factors?
通过对城市电力网中用电量的时间序列分析，建立其线性模型。
After analyzing the model of time sequence of electrical power consumption, model of it is built.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The reliability of the time-series analysis method in processing unsteady random signals is verited.
目前，在时间序列分析领域，孤立点的挖掘越来越多的受到重视。
At present, outlier mining has attached a great importance in the field of time series analysis.
快速影像匹配是进行影像时间序列分析与飞行器导航的重要方法。
Fast image matching is an important method for aircraft navigation and motion analysis.
采用非线性混沌时间序列预报，不同于传统的时间序列分析方法。
It differs from traditional time-sequence analysis methods in which nonlinear chaotic time-sequence prediction is used.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
The example result shows that the random-sets method is a nice approach to time series analysis.
本文概述了数字滤波和时间序列分析在地震前兆信息处理中的应用。
Application of digital filtering and time series analysis to earthquake precursory processing is summarized in this paper.
本文讨论的主要问题是时间序列分析在预测领域的应用及编程实现。
This article discusses the main problem of time series analysis in the field of forecast application and programming.
时间序列分析和统计检验提供了优化地下水位监测频率的定量标准。
Time series analysis and statistical test provide quantitative criteria to determine the optimum observation frequency.
预报误差校正是基于时间序列分析、参数估计和最优预报原理形成的。
The prediction error correction is based on time series analysis, parameters estimation and optimum prediction principle.
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。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
此外，采用时间序列分析方法，建立了IFOG的随机漂移误差模型。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
这一结论为混沌时间序列分析方法应用于测井曲线识别领域提供了前提条件。
The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.
时间序列分析可以通过差分、周期的方法，对植物种群的增长进行模拟与预测。
Time series model can simulate and predict the increase of Quercus variabilis population by the difference, periodic method.
引入稀疏混沌时间短序列概念，提出了稀疏符号时间序列分析方法与实现流程。
The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.
时间序列的非线性检测对于非线性时间序列分析、混沌特性研究有着重要意义。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
时间序列分析是动态数据分析的重要方法，在多学科领域中得到广泛的研究和运用。
Time series analysis is an important method of the dynamic data analysis which has extensive researches and usages in many subject fields.
用时间序列分析方法对镗削加工误差进行了分析和建模，建立了相应的AR误差模型。
Analysis and modeling are made for the boring error by using time sequential analysis way, and corresponding ar error model is established.
本文基于时间序列分析ARMA模型探讨了结构损伤特征提取和损伤预警的实现方法。
An algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.
建立在时间序列分析基础上的中长期预报模型具有很好的预报效果，可以用于作业预报。
The mid and long term forecast model based on the time series analysis has a good forecast effect.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
文章分析了模型建立的目的和特征，阐述了时间序列分析的定义、分类、特征和应用领域。
This paper analyzed the aim and characteristic of model establish, expounded time series analytic definition, classification, feature and application domain.
应用推荐