1)count-based model计数回归模型
2)statistic AR model统计自回归模型
3)statistical regression model统计回归模型
1.The principal component analysis of factors of BP neural network model and statistical regression model has been carried out by an example; and the effects of factor correlativity on the two kinds of dam monitoring models are studied.通过实例分别对BP神经网络模型和统计回归模型进行了建模因子的主成分分析,通过对相应原始模型的比较,研究了因子相关性对两种模型的影响,结果证明因子相关性对BP神经网络模型基本无影响,对统计回归模型影响较大。
2.To make full use of BP neural network model and statistical regression model of dam, through illustrations a comparison between them is made in three aspects, i.当需对大坝的监测数据作分解和解释时,则适宜采用统计回归模型。
3.On the basis of principle of the classical threshold auto--regression model, we advanced anew statistical regression model and a relative building method via introducing the semi--polynomialtransformation.根据经典门限自回归模型的基本思想,引人半截多项式变换,导出了一种新的统计回归模型,并提出了相应的一整套建模方案。
4)measurement and regre ssion model计量回归模型
5)regression mathematics models回归数学模型
1.By some main technological parameters (consumption of adhesive,hot-pressing pressure) and some basic physical indexes (density,moisture content,thickness),regression mathematics models are obtained when the main physical and mechanical properties of particleboard are analyzed by the method of multi-variance linear regression in order to predict other physical and mechanical properties.通过刨花板主要生产工艺参数(施胶量、热压压力)以及刨花板成品的一些易测的物理性能指标(厚度、含水率以及密度)与刨花板成品的主要物理力学性能指标(吸水厚度膨胀率、静曲强度、内结合强度)进行多元线性回归分析,建立相关的回归数学模型,以达到对其主要物理力学性能进行预测。
英文短句/例句
1.Regressive Mathematical Model of N P K on the Growth and Yields of Tomato番茄生育及产量与氮磷钾营养回归数学模型
2.The Analysis Applied Researches Based on Multi-dimensional Return Mathematical Model;基于多元回归数学模型的分析应用研究
3.Local Regression Estimation of the Semipar Ametric Models;半参数回归模型的局部回归估计方法
4.Application Comparison between Multiple Regression and Grey Relational Mathematical Model;多元回归与灰关联数学模型应用之比较
5.Models for Zero-inflated Count Data and Its Medical Applications零过多计数资料回归模型及其医学应用
6.Establishment of Mathematical Model for Predicting Cigarette's Tar Yield with Projection Pursuit Regression Method投影追踪回归(PPR)法建立卷烟焦油预测数学模型
7.The Conditional Root Squares Estimation of Regression Coefficient in Restricted Linear Regression Model;约束线性回归模型回归系数的条件根方估计
8.The Estimation Theory of Regression Coefficient in Linear Regression Model under Balanced Loss Function;平衡损失下线性回归模型回归系数的估计理论
9.The Balanced LS Estimation of the Regressive Coefficient in Linear Model and Its Prediction;线性回归模型回归系数的平衡LS估计及预测
10.The Regression Analysis of Varying-Coefficient Models with Censored Data;删失数据下的变系数模型的回归分析
11.Estimator of Regression Coefficients in the Growth Curve Model;生长曲线模型中回归系数的参数估计
12.Estimation Method in Semiparametric Regression Model for Longitudinal Data;纵向数据半参数回归模型的估计方法
13.Asymptotic Properties of Semiparametric Regression Model for Longitudinal Data;纵向数据半参数回归模型的渐近性质
14.Estimating regression coefficients in linear models based on grouped data分组数据下线性回归模型的参数估计
15.(2) Modeling the conversion from L*a*b* to CMY by using mathematic theory.(2) 采用二元回归方法计算数学模型的平面方程系数并建立数学转换模型。
16.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
17.Nonparametric Autoregressive Model of Chinese Population Rate;中国人口增长率的非参数自回归模型
18.Principal Components Estimate of Regression Coefficient of Multivariate Linear Regression Model;多元线性模型回归系数的主成分估计
相关短句/例句
statistic AR model统计自回归模型
3)statistical regression model统计回归模型
1.The principal component analysis of factors of BP neural network model and statistical regression model has been carried out by an example; and the effects of factor correlativity on the two kinds of dam monitoring models are studied.通过实例分别对BP神经网络模型和统计回归模型进行了建模因子的主成分分析,通过对相应原始模型的比较,研究了因子相关性对两种模型的影响,结果证明因子相关性对BP神经网络模型基本无影响,对统计回归模型影响较大。
2.To make full use of BP neural network model and statistical regression model of dam, through illustrations a comparison between them is made in three aspects, i.当需对大坝的监测数据作分解和解释时,则适宜采用统计回归模型。
3.On the basis of principle of the classical threshold auto--regression model, we advanced anew statistical regression model and a relative building method via introducing the semi--polynomialtransformation.根据经典门限自回归模型的基本思想,引人半截多项式变换,导出了一种新的统计回归模型,并提出了相应的一整套建模方案。
4)measurement and regre ssion model计量回归模型
5)regression mathematics models回归数学模型
1.By some main technological parameters (consumption of adhesive,hot-pressing pressure) and some basic physical indexes (density,moisture content,thickness),regression mathematics models are obtained when the main physical and mechanical properties of particleboard are analyzed by the method of multi-variance linear regression in order to predict other physical and mechanical properties.通过刨花板主要生产工艺参数(施胶量、热压压力)以及刨花板成品的一些易测的物理性能指标(厚度、含水率以及密度)与刨花板成品的主要物理力学性能指标(吸水厚度膨胀率、静曲强度、内结合强度)进行多元线性回归分析,建立相关的回归数学模型,以达到对其主要物理力学性能进行预测。
6)Exponential autoregressive model指数自回归模型
1.A Nonlinear Time Sery Model for Flood Forecast——exponential autoregressive model;一类洪水预报的非线性时序模型——指数自回归模型
2.On the complex decay of Tongjizi reservoir induced seismicity,an exponential autoregressive model is constructed and seismic activity tendency is predicted.本文从铜街子水库诱发地震的基本地质条件着手,采用了水库综合影响系数、概率预测、信息量预测、模糊预测等方法对其最大诱震震级进行了评估,并针对铜街子水库诱发地震的复式衰减特性,建立了指数自回归模型,对诱发地震的活动趋势进行了预测。
3.The identification of exponential autoregressive model (EAR modal)is discussed in this paper.讨论了指数自回归模型的辨识问题,证明了该模型最小二乘估计的目标函数的非凸性,并给出了使该函数为凸的条件;最后给出了辨识该模型的算法及该算法的收效性,并以数值例子加以说明。
延伸阅读
计数统计(数目);计算:不可~ㄧ难以~。
