1)continuous time autoregressive model连续时间自回归模型
1.Based on the multivariate continuous time autoregressive model,a new time-domain modal identification method of LTI system driven by the uniformly modulated Gaussian random excitation was presented.结合多元连续时间自回归模型,针对受均匀调制Gauss随机激励的线性时不变系统,提出了一种时域模态识别的新方法。
2)Continuous-time regression model连续时间回归模型
3)ACD Models自回归条件持续时间模型
4)time-varying autoregressive model时变自回归模型
1.In this paper,an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
5)time-varying autoregressive models时变自回归模型
1.By exploring the time-varying autoregressive models,a new Gaussian particle filter was introduced to solve speech enhancement based on the time-varying autoregressive models.在分析语音信号的时变自回归模型的基础上,采用了一种新的滤波器即高斯粒子滤波器,该滤波器是基于粒子滤波方法得到一高斯分布来近似估计未知状态变量的后验分布,在符合高斯假设和一定粒子数的情况下,可以获得近似最优解,并用它来解决TVAR模型的语音信号增强问题。
6)Spatial autoregression model空间自回归模型
1.According to the data of 25 cities in Jiangsu,Zhejiang and Shanghai in 2001,we found that:(1) there are significant spatial correlation in the model;(2) the parameter estimation value of spatial autoregression model is significantly different from that of the ordinary regression model;(3) the income of residents is not only related to the city economy level.研究表明,数据中具有显著的空间相关特征,在综合了空间特性的空间自回归模型中,参数估计值与普通回归模型的估计值相比有显著的不同,研究还发现,居民收入水平除了与当地经济发展水平有关,还与周边城市的居民收入水平以及经济发展水平相关。
英文短句/例句
1.Local Influence in Spatial Autoregressiom Model and Applications;空间自回归模型的局部影响分析和运用
2.Imputation Method for Regional Missing Data Using spatial Autoregression Models;基于空间自回归模型的缺失值插补方法
3.The Analysis of Regional Characteristics of Energy Utilization Efficiency based on Spatial Autoregression Model;基于空间自回归模型的中国能源利用效率区域特征分析
4.Research on Relations between Consumption and Income of Chinese Citizens Basing the Spatial Auto-regression Model我国城镇居民消费与收入关系的空间自回归模型研究
5.The Estimation and Statistical Computational Realization of the Parameters in Panel Data Autoregressive Models with Spatial Dependent Errors;具有空间相依误差的面板数据自回归模型及参数估计的统计计算实现
6.Two-step Procedure and Numerical Simulations for Semiparametric Spatially Varying-Coefficient Regression Model;半参数空间变系数回归模型的两步估计方法及其数值模拟
7.Self-Excited Threshold Auto-Regressive Simulation Model of Aeroengine Combustor Acoustic Loading航空发动机燃烧室声载荷自激励门限自回归仿真模型
8.The reurrent points of continuous self-maps on a normed space关于赋范空间上连续自映射的回归点
9.Research on the Spatial Interpolation for Precipitation Data Using Weighted Linear Regression Model;基于线性加权回归模型的降水量空间插值方法研究
10.A Stepwise Regression--Autoregression Mathematical Model of Multiple Dependent Variables for Predication the Preperties of Water in X lakeX湖水质预测的多因变量逐步回归——自回归模型
11.Decomposition Theorems of Design Matrices for General Autoregressive Models with Applications to Time Series Analysis;广义自回归模型设计矩阵的分解定理及其在时间序列上的应用
12.Influence Analysis for Interval-Censored Data in Regression Model;区间删失数据对回归模型的影响分析
13.Estimation of parameter in linear regression model for middle-censored data中间删失线性回归模型中的参数估计
14.cross-sectionally correlated and timewise autoregressive model截面相关和时序自回归模型
15.Nonparametric Autoregressive Model of Chinese Population Rate;中国人口增长率的非参数自回归模型
16.The Autoregressive Conditional Duration Model and Empirical Research;自回归条件持续期模型及其实证研究
17.Ruin Probability for an Autoregressive Risk Model with Different Times of Insurance Business;多险种自回归风险模型下的破产概率
18.Nonparametric Autoregression Prediction Model on Population Growth Rate;人口增长率的非参数自回归预测模型
相关短句/例句
Continuous-time regression model连续时间回归模型
3)ACD Models自回归条件持续时间模型
4)time-varying autoregressive model时变自回归模型
1.In this paper,an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
5)time-varying autoregressive models时变自回归模型
1.By exploring the time-varying autoregressive models,a new Gaussian particle filter was introduced to solve speech enhancement based on the time-varying autoregressive models.在分析语音信号的时变自回归模型的基础上,采用了一种新的滤波器即高斯粒子滤波器,该滤波器是基于粒子滤波方法得到一高斯分布来近似估计未知状态变量的后验分布,在符合高斯假设和一定粒子数的情况下,可以获得近似最优解,并用它来解决TVAR模型的语音信号增强问题。
6)Spatial autoregression model空间自回归模型
1.According to the data of 25 cities in Jiangsu,Zhejiang and Shanghai in 2001,we found that:(1) there are significant spatial correlation in the model;(2) the parameter estimation value of spatial autoregression model is significantly different from that of the ordinary regression model;(3) the income of residents is not only related to the city economy level.研究表明,数据中具有显著的空间相关特征,在综合了空间特性的空间自回归模型中,参数估计值与普通回归模型的估计值相比有显著的不同,研究还发现,居民收入水平除了与当地经济发展水平有关,还与周边城市的居民收入水平以及经济发展水平相关。
延伸阅读
连续时间非线性系统模型分子式：CAS号：性质：系统模型的一种，其变量之间的关系是司E线性的且时间变量连续的系统模型。
