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.
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.
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.
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.
通过时间序列分析建立反映切削状态的数学模型，从动态数据中凝聚信息，构成用于判别的特征向量。
By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.
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.
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.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
由于该模型被认为是最集中反映了金融市场数据方差变化的特点而被广泛应用于金融数据时间序列分析中。
Because these models can reflect the feature of the financial market well, they have been widely applied in the time series analysis on financial data.
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.
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.
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.
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.
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.
本文在传统时间序列分析建模方法的基础上，提出了用AR模型的新的完整而又简单的辨识方法。
On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.
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.
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?
指出这类模型的应用前景和局限性，提出了时间序列分析模型与地下水动力学模型耦合应用的几种途径。
It points out the ap-plication prospect and limitations of these models - it presents several ways of coupling application of the time sequence analysis model with the groundwater dynamics model.
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.
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.
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.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
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.
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.
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.
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.
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.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
ARIMA模型；预测；时间序列分析；高血压；发病率。
ARIMA model; Predict; Time series analysis; Hypertension; Incidence.
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