ARMA model has been widely used in stochastic hydrologic field.
ARMA模型在随机水文学及其他领域中有广泛的应用。
Several criteria such as AIC and SIC are usually used in ARMA model selection.
AIC与SIC等准则函数方法是arma模型选择过程中经常使用的方法。
In this paper a linear method for parameter estimation of ARMA model is proposed.
本文提出估计ARMA模型参数的一种线性方法。
It is shown that an ARMA model of minimum order exists for a given target spectrum.
论文表明，对给定的目标谱，存在一最低阶的ARMA模型。
ARMA model of nonlinear structural vibration and control systems were studied in this paper.
本文研究了结构非线性振动及其控制系统的ARMA模型的建立问题。
Power function, periodical function, and ARMA model are established according to the characteristics of sub-series.
然后根据各子序列的特性分别建立幂函数、周期函数或ARMA模型并进行预测。
To the ununiqueness of multiple ARMA model, in the paper we give a restriction that makes multiple ARMA model be unique.
本文针对多元ARMA模型形式的不唯一性，给出了一个限制条件，使得多元ARMA模型的形式具有了唯一性。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
However, when the order of ARMA model is very high, to compare every candidate model's criterion value is computationally infeasible.
但是，当模型的阶数很高时，无法计算并比较每一个备选模型的准则函数值。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
We use ARMA model to describe the seismic wavelet, and use genetic algorithms to estimate the ar parameters and the ma parameters iteratively.
该方法用ARMA模型描述地震子波，用遗传算法交替迭代地估计AR和MA参数。
ARMA model is one of the most common models in the modern time series analysis which is widely used in scientific researches and engineering systems.
ARMA模型是现代时间序列分析中最为常用的模型之一，在科学研究和工程系统中具有广泛的运用。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system load forecasting.
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
Combined with certain type time series recount multiplicity model and random type ARMA model, establish the time series model of the death rate in Chongqing urban area.
应用确定型的时间序列分解法乘法模型与随机型的arma模型相结合，建立重庆市主城区人口死亡率的时间序列模型。
It is shown that the second order structure is similar to a linear ARMA model with uncorrelated errors. In the end, the best linear predictors are given for USDBL models.
证明了该模型的二阶特性与一个线性平稳arma模型相似，最后给出了该模型的最优化线性预报方法。
Moreover, SVM-based forecasting model performs faster than ARMA model to forecast the communication traffic. Generally speaking, the overall performance of SVM model is optimal.
而且SVM的预测速度明显比arma模型快，综合各方面考虑，SVM预测模型的整体性能最优。
The results of numeric simulation and real seismic data processing showed that the ARMA model was characterized by parameter-economic and high efficiency in comparison with MA model;
数值模拟结果和实际地震数据处理结果表明：自回归滑动平均（ARMA）模型比滑动平均（MA）模型具有参数节省、模型更为高效的特点；
The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.
分析了传统时间序列分析法建立ARMA模型的不足，提出了一种利用模型阶数判断准则和长自回归法建模的新方法。
By the statistical analysis of ship motion attitude and equivalent argument about ARMA model and ar model, ar model was identified to be the mathematic model for ship motion attitude prediction.
通过对舰船运动姿态统计分析，以及对ARMA模型和AR模型等价性论证，确定了AR模型作为船舶姿态运动预报的数学模型。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
At the same time, this paper utilizes the improved model based on exponential regressive curve and ARMA model to carry on the medium and long-term electric power demand forecasting in Hunan province.
同时本文利用指数曲线与ARMA的叠加预测模型对湖南省中长期电力需求进行了具体的实证研究。
In the national market, we collect and collate the real estate price index of our country. After pass an examination we set up an ARMA model to predict the future trend of the real estate price index.
在全国市场上，收集整理我国的房产价格指数，通过检验建立ARMA模型对未来的房地产价格指数的走势做出预测。
This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average (ARMA) model for wind speed subjected to particular power spectral density.
该文针对风速随机变化的特性，在风速统计特性研究的基础上，用自回归滑动平均(ARMA)方法建立了具有一定功率谱密度特性的风速模型。
This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average (ARMA) model for wind speed subjected to particular power spectral density.
该文针对风速随机变化的特性，在风速统计特性研究的基础上，用自回归滑动平均(ARMA)方法建立了具有一定功率谱密度特性的风速模型。
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