Many economists keep on working hard, making a great effort to try to find a time series model which can capture most of these characteristics of financial data.
许多经济学家们不懈努力，孜孜以求，试图找到一个能够全面地刻划金融数据这些特性的时间序列模型。
The case result shows that the multi-layer recursive time series model is effective in analyzing the time-dependent characteristics of parameters, and has considerable prediction precision.
实例分析和计算表明，多层递阶时间序列模型能较好地反映参数的时变特性，取得较精确的沉降预测结果。
A simple and practical scheme is presented for developing a bilinear time series model (BM).
提出了建立双线性模型(BM)的一套简便实用的方案。
A simple and practical scheme is presented for establishing the bilinear time series model (BM).
提出了一套建立双线性模型(BM)的简便方案。
A simple and universal scheme is presented for establishing the bilinear time series model (BM).
提出了建立双线性模型(BM)的一套简便通用的方法。
A time series model of DNA sequence is proposed. A map of DNA sequence to integer sequence is given out.
提出了DNA序列的时间序列模型，给出了DNA序列整数序列的一个映射。
By the relationship of Laplace transform and Z-transform, the ARMA time series model for this system is obtained.
应用拉氏变换和Z变换间关系，得到系统的ARMA时间序列模型。
In the paper, we construct a new seasonal adjustment method of time series on the basis of the structural time series model.
建立一种基于结构时间序列模型的新的时间序列季节调整方法。
Finally, I predict financial risk situation for the next two years in Gansu province by use of ar autoregressive time series model.
最后，运用AR自回归时间序列模型对未来两年甘肃省金融风险状况进行预测。
The Stochastic Volatility models (SV model) is a kind of time series model which can reflect fluctuation that can not be observed directly.
随机波动(SV)模型是一种重要的具有隐性波动的时间序列模型。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
The transfer function-noise model is a kind of multivariate time series model which has much advantage in expressing dynamic mechanism of a system.
传递函数———噪声模型是一类多变量时间序列模型，它在表达系统动态影响机制方面有着独到的优势。
Through analyzing the field deformation data of supporting structures, the prediction can be gained by time series model so as to guarantee the safety.
通过现场量测的深基坑围护结构变形信息资料，对数据进行整理和分析，利用时间序列分析法对支护结构的变形作出预测，以保证基坑安全施工。
When a white noise interferes with the device, a time series model, proposed as AR (autoregressive) model, is conducted by using the sampled experimental data.
当白噪声干扰电流变传动器时，利用采样数据，建立时间序列的自回归模型。
This paper used time series method to analyze the vibration faults of working compressor, and the time series model of vibration signal was setup in the paper.
本文运用时间序列方法研究工作状态下回转式压缩机的振动故障。
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。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
Investigates a method of time series model with grey system model. Rules in time series can be found by GM (1, 1) model and the trend of the time series can be forecasted.
研究了利用GM(1,1)模型发现时间序列模式的方法，用GM(1,1)模型可以从时间序列中寻找变化规律，预测将来的发展趋势。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
Time series model can simulate and predict the increase of Quercus variabilis population by the difference, periodic method.
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。
Curve Fitting Method of Time Series Model can be used to predict the number of inbound tourists and tourism revenue of Chongqing.
可运用时间序列模型中的曲线拟合方法，对重庆入境旅游人数和旅游收入进行预测。
Curve Fitting Method of Time Series Model can be used to predict the number of inbound tourists and tourism revenue of Chongqing.
可运用时间序列模型中的曲线拟合方法，对重庆入境旅游人数和旅游收入进行预测。
应用推荐