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regression hyperplane相关的网络例句

查询词典 regression hyperplane

与 regression hyperplane 相关的网络例句 [注:此内容来源于网络,仅供参考]

In the regression add variables and delete the variables of each step, the regression equation of the series solution of regression coefficients, and calculation of regression coefficients significant test statistic.

在逐步回归添加变量和删除变量的每一个步骤,都要解一系列的回归方程,求回归系数,计算回归系数显著性检验的统计量。

Based on cloud seeding data on April 5,2002 in Henan province,cloud seeding effects were evaluated by six methods,i.e.double contrast method of regional rainfall tendency control,regression analysis method of regional tendency correlation,multiple regression analysis method of regional tendency covariant,floating control historical regression method,cluster-analysis-based floating control historical regression method using rainfall as a covariant and CA-FCM using rainfall and atmospheric perceivable water as covariants.

根据2002年4月5日河南省人工催化增雨作业数据,分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归评估方案、区域趋势协变量多元回归评估方案、FCM评估方案、以降水量为协变量的CA-FCM评估方案和以降水量与整层大气可降水量为协变量的CA-FCM评估方案进行效果评估。

The article present the conception of regression testing and the step of executing this testing. Introduce how to maintenance the test case library which used in regression testing ,and provide the method of ensure regression testing's validity. Finally, it gives some problem must be careful in the period of regression

本文描述了软件回归测试的概念和进行回归测试的基本步骤,介绍了可用于回归测试的测试用例库的维护方法,给出了几种可以可保证回归测试效率和有效性的回归测试策略,总结了回归测试时应该注意的一些实际问题。

The correlation analysis and stepwise regression between physiological characteristics of three species and environmental factors showed that the regression equation of Platycladus orientalis between photosynthetic rate, transpiration rate and the environment factor was P(subscript n=0.006PAR+1.176RH, E=1.120T; the regression equation of Pinus tabulae formis was P(subscript n=0.010PAR, E=1.004T+0.482RH; the regression equation of Tamarix chinensis was P(subscript n=0.015PAR, E=0.757T+0.566RH-8.397G.

对3种树的光合速率和蒸腾速率与影响因子进行相关分析及逐步回归分析表明,各树种光合速率和蒸腾速率的回归方程分别为,侧柏:P=0.006PAR+1.176RH,E=1.120T;油松:P=0.010PAR,E=1.004T+0.482RH;柽柳:P=0.015PAR,E=0.757T+0.566RH-8.397G。

When the regression equation has more than two independent variables, it defines a hyperplane.

当回归方程有2个以上的自变量时,形成的是一个超平面。

This part constructed fuzzy linear support vector regression when the parameters of optimal hyperplane are fuzzy.

当最优超平面中的参数为模糊量时,建立了模糊线性支持向量分类机和模糊线性支持向量回归机。

Quantile regression models are important statistical models, which are more powerful than least square regression and least absolute deviation regression in statistical analysis, and can supply much more attractive inference results for the datasets.

分位点回归模型是一种重要的统计模型,它比最小二乘回归和LAD回归具有更强的统计分析能力,能给数据集提供更加丰富的统计推断结果。

Five main stalk crops planted in northern China including wheat, corn, broomcorn, soybean, and millet, were chosen to be the samples of the experiments. About seven morphological traits (such as plant height, ear length, ear weight, moisture content and so on) were measured in the crop mature period. The maximum shear force during shearing process, through static test equipment, at the second internode of the basal stalk, was recorded. And shear strength of each crop was calculated to find the differences of shear strength among different crops. The optimal regression models of shear force and morphological traits were obtained by multiple linear regression method with Statistics Analysis System. The equation based on the regression models was constructed.

本文以北方主要茎秆作物(小麦、玉米、高粱、大豆、谷子)为研究对象,试验测定了成熟期茎秆基部第二节间的最大剪切力及株高、穗长、穗重、含水率等七种形态特性指标,获得了静载情况下相关样本的剪切强度;分析比较了不同茎秆作物剪切强度的差异性,并利用SAS软件对茎秆作物剪切力与形态特性指标进行了多元线性回归,得到了剪切强度对形态特性指标的最优回归方程。

The two-parameter negative exponential form could bump regression analysis degree of fitting up Least square curvilinear regression method was considered as the most conformable regression-type analysis.

回归分析的方法使用最小二乘法曲线回归方法。

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括:将政策变量划分为连续性政策变量和离散政策变量两个类型,并分别进行分析;对于连续性政策变量,采取合理的权重来合成政策综合指标,反映各主要政策指标的综合力度大小;将各政策综合指标与经济、股市变量进行回归分析,获得各类政策综合指标变量对经济、股市影响程度的大小;将经济指标数据与股市数据进行回归分析,获得经济与股市之间关系的大小;采取事件研究方法来分析其对股市的影响程度;构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组,进行差分运算,并以此与原来各主要变量组成联立方程;运用计量回归方法,求出联立方程系数用于预测。

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