混合回归模型,mixed regression model
1)mixed regression model混合回归模型
1.With nonlinear regression analysis on each factor and multi- variates l inear regression on collectivity, this paper gives amixed regression model.通过先行建立每个影响因子的非线性回归模型 ,然后作总体线性回归 ,首次给出了用混合回归模型预报赤潮的方法。
2.According to the relationship between runoff and meteorological elements,amixed regression model was proposed and posterior error is 0.根据径流与气候要素的关系建立了年径流预测的混合回归模型,构建方便、灵活、具有一定精度,能反映年径流量随降水、气温变化的规律。
3.This paper deals with the problem of simple substitution for the mixed estimator ofmixed regression model and presents some formulas for its influence on estimator precision.探讨了对混合回归模型的混合估计进行简单替代的问题，并给出了由此产生的对估计精度的影响的表达式。
英文短句/例句
1.Method of Dam Deformaiton Analysis Based on ARMA Mixed Regression Model基于ARMA混合回归模型的土坝变形分析
2.Segmenting the Market Using Conjoint Analysis and Mixture Regression Model;应用联合分析和混合回归模型进行市场细分
3.Application of Mixture Regression Model in Market Segmentation of Department Stores混合回归模型在百货商店市场细分中的应用
4.Constructed the Mulitivariate Mixed Regression Modle for Analysing the Facts That Effected Rabbits Wool Product建立多元混合回归模型分析影响毛兔产毛量的因素
5.MIXED REGRESSIVE MODEL AND ITS APPLICATION TO THE METEOROLOGICAL PREDICTION OVER THE MIDDLE AND LOWER REACHES OF THE CHANGJIANG RIVER混合回归模型及其在长江中下游气象预报中的应用
6.Empirical Likelihood Confidence Regions of Regression Coefficient in Quantile Regression Models under Φ-Mixing Samples;Φ-混合样本下分位数回归模型回归系数的经验似然置信区域
7.Research on the Interactional Multivariate Regression and Multivariate Time Series Mixed Model;交互影响的多元回归与多元时序混合模型研究
8.Study on SOM Network, General Regression Neural Network and Their Hybrid Model;SOM网络和广义回归网络及其混合模型研究
9.Credit Evaluation Model of Credit Card by Using the Hybrid Model of Neural Network and Logistic Regression;基于神经网络及Logistic回归的混合信用卡评分模型
10.The Superiority of Mixed Estimation of Regression Parameter in Growth Curve Model Under Pitman Closeness Criterion;增长曲线模型中回归系数阵混合估计的Pitman优良性
11.Short Term Forecast of Electricity Price Based on Mixed Autoregressive Moving Average and Hidden Periodic Model;基于混合自回归滑动平均潜周期模型的短期电价预测
12.The Research of A Mixed Two-Phase Scoring Model of Personal Credibility Based on Neural Network-Logistic Regression;一个基于神经网络——Logistic回归的混合两阶段个人信用评分模型研究
13.The Asymptotic Property on Local Polynomial Estimation of Nonparametric Regression Function for (?)-Mixing Errors基于（？）混合误差下非参数回归模型局部多项式估计的渐近性质
14.Linear Regression Model for Composite Stock Index of Shanghai Stock Exchange Centre(Daily;上证综合指数(日收盘)线性回归模型
15.A type of seasonal integer-valued compound autoregressive model-SINCAR(1);一类季节性整值复合自回归模型——SINCAR(1)
16.The Empirical Analysis of Reasonableness of Regression Model of Housing Loan房贷数据回归模型合理性的实证研究
17.Strong consistency of wavelet estimation in the semiparametric regression model半参数回归模型小波估计的强相合性
18.Local Regression Estimation of the Semipar Ametric Models;半参数回归模型的局部回归估计方法
相关短句/例句
Hybrid Regressive Model混合回归模型
1.As muti dimensional AR model has some drawback in the procedures of solving all the elements of the regressive matrixes,theHybrid Regressive Model is proposed in this paper.针对多维 AR模型同时求解回归系数矩阵所有元素的一些不足之处 ,本文作者提出了混合回归模型 ,其数值模拟实验表明 ,该模型对脉动风的仿真是有效的 ,用于群体结构的风响应时域分析 ,能得到较令人满意的结果。
2.As multi_dimensional AR model has some drawbacks in the procedure of solving all the elements of the regressive matrixes,the hybrid regressive model is proposed in the paper.针对多维AR模型同时求解回归系数矩阵所有元素的一些不足之处 ,本文提出了混合回归模型 ,实例分析表明 ,混合回归模型对脉动风的仿真是有效的 ,用于高层建筑风响应时域分析 ,能得到令人满意的结
3)multi-regression model混合回归模型
1.In this paper, amulti-regression model is set up using time series analysis method, and it is applied to delineate the discharge change process of the Xin’an karst springs.利用时间序列分析方法建立了描述辛安泉流量变化过程的混合回归模型。
4)linear regression-autoregressive mixing model回归-自回归混合模型
5)ARMA mixed regression modelARMA混合回归模型
1.The accuracy of theARMA mixed regression model was significantly higher than the multivariate regression model.结果表明,土坝的变形量与其自身历史变形量关系密切,水深对其变形有一定影响,温度对其变形影响不大,ARMA混合回归模型预报精度明显高于多元回归模型。
6)Multiple quantized regression model I混合型数量化回归模型
延伸阅读
多元线性回归模型分子式：CAS号：性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
