该词条未找到_海词词典

您要查找的是不是：

The limitations of usual linear regression model are gotten over by GM(0,3), which afford theorical basis for detail specification sizes of apparel. GM(0,3)灰色模型克服了常用的线性回归模型的局限性,为服装细部规格尺寸的确定提供了理论依据。
Linear regression model with elliptically symmetric errors and unknown dispersion matrix was discussed. 摘要讨论了协方差阵未知的椭球等高线性模型中的稳健性问题。
In this paper, an evaluation model is set up by utilizing statistical linear regression model method. 摘要本论文利用统计中的线性回归模型的方法建立了评价模型。
The ordinary Least Squares Estimate (LSE) in linear regression model is not robust for many cases. 摘要在线性回归模型中普通的最小二乘估计(LSE)许多情形下是不稳健的。
There are a large number of the hierarchically structured data in the field of medical sciences, which have been analyzed usually by conventional linear regression models. 在医学领域存在大量具有层次结构特征的资料，但通常仍采用各类传统线性回归模型分析这类数据。
Owing to the conventional linear regression model is sensitive to abnormal data,therefore the regression equation is not stable en ough. 由于常规线性回归模型对个别异常数据敏感，所以回归方程欠稳定。
Results: For multiple linear regression models, we found that the associations between birth length and birth weight and cord plasma chlorpyrifos were significantly. 结果：复线性迴归统计结果发现，较高的脐带血陶斯松浓度和较短的出生身长及较低的出生体重计有显著的相关。
Simple linear regression model is applied to compare the difference in SGA usage pattern between public and private hospitals. 使用简单线性回归模型来比较公立医院和私立医院之间SGA使用模式的差异。
Based on current transit OD, the linear regression model validated newly and gravity model of double constraints are used to forecast transit demand. 在现状公交O-D的基础上,利用重新标定后的线性回归模型和双约束重力模型进行公交需求预测。
Objective To know preschooler s constitution and to study methods of making normal values of preschooler s physical exertion using linear regression model. 了解学龄前儿童体能素质,探讨利用线性回归制定其体能四项运动指标正常值的方法。
By contrasting to results generated from Multivariate Linear Regression model，experiment results show that the GMDH used in this paper is more effective. 通过与多元线性回归模型的预测值对比，证明了该方法的有效性。
This paper used the data of enterprises questionnaire, through the multifactor linear regression model,analyzes the influencing factors of lending constraints on China s SMEs. 使用企业问卷调查数据,通过多元线性回归模型对我国中小企业贷款约束的影响因素进行实证分析,结果表明,中小企业的总体贷款约束程度较为严重。
Which kind of models is the most adaptive one when a set of datums from actual sircumstances in which multicollinearity exists are suitable to be dealed with by the linear regression model ? 面对由实际情况测量所得的一组数据，当适合使用线性回归，而自变量之间又存在严重的共线现象时，哪一种模型又是最适合的呢?
In multiple linear regression models, factors associated with greater leukoaraiosis in both racial groups included age (P0.002), homocysteine levels (P0.006), and brain volume (P0.008). 根据多元线形回归，在两个种族中与脑白质缺血严重均相关的因素包括：年龄（P=0.;002），高半胱氨酸血症（P=0
This note considers a paradox arising in the least squares estimation of linear regression models in which the error terms are assumed to be iid and possess finite r-th moment, for r.in.[1,2). 摘要: 当线性迴归模型的误差项为独立且具相同分布及具有r次阶距; r.;in
Based on the actual circumstance of the listed company in China, this paper has built up a linear regress model about these two aspects, and has investigated their coefficient through regress analyzing the sample. 针对我国上市公司的实际情况,建立关于企业家报酬与企业业绩的线性回归模型,通过对样本的回归分析考察二者之间的相关系数。
Upon using linear regression model,a new pH value model in Nanning was developed by means of empirical orthogonal functions(EOF) as predictors of previous meteorological,polluted and diffused data,and selecting the high relative principal components. 对南宁市降水pH值的前期气象场、污染特征和扩散条件等相关初选预报因子进行EOF展开,并取其中与预报量相关显著、且方差贡献大的主成分,结合逐步回归技术,建立了一种新的降水pH值预报模型。
A multi linear regression model to judge which factor affects the amount of social consumable retail the most is proposed. EXCEL and SAS software are used to fit and test original data, and the fitting results are satisfied. 建立了一个多元线性回归模型 ,用于判断何种因素对社会消费品零售总额有较大影响 ,同时还利用 SAS和 EXCEL软件对原始数据进行了拟合与检验 ,拟合效果较为理想。
Then,stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration,and the multiple linear regression model is established. 在此基础上,通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum. 该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。