回归效果

The spatial autocorrelation coefficient and spatial regression model are widely applied spatial statistic techniques to explain the effects and distributions of spatial factors. This study identifies the major driving forces of the spatial neighborhood effect on land-use/land-cover change in Metropolitan Taipei.

空间自相关系数(spatial autocorrelation coefficient， SAC)或空间回归模型(spatial regression model， SRM)为探讨空间关系常用的工具，其中空间自相关系数以相关系数之观念，藉以探讨空间聚集的型态；空间回归模型则以线性回归模式为基础，探讨自变数以及依变数项的空间差异，对空间近邻效果提供有效的解释方式。

It has been proved by the forecast practice that the low order AR model from the BIC criterion is more efficient

文章还提出了一个应用自回归模型递推预报月平均温度的方法，预报实践证明，由BIC准则产生的低阶自回归模型的效果优于其它方法。

The linear regression of the three factors—seed diameter, length of friction and gear gap to the hulling efficiency was determined and the significance of the regression equation was tested.

通过以籽粒粒径、碾搓行程和破壳装置动、定齿盘间隙为研究对象的三因素三水平重复试验，得出了此三者与破壳效果间的线性回归方程，并做了回归方程的显著性检

However, in regression model if there are features that are not completely relative or even completely irrelative to the problem, the difference of features' correlative degree to the problem becomes large and it may affect the performance of support vector regression machine.

基于统计学习理论的支持向量回归机有比较好的泛化能力，然而当样本含有与该问题不完全相关甚至完全无关的特征时，会使得各个特征对问题的相关程度差异很大，从而使得支持向量回归机的效果受到影响。

On the other hand, partial Least Square Regression which is called the second generation regression method has got good result in handling the multicollinearity in multilinear regression;But under some circumstances the result of such a regression is not satisfactory.

另一方面，偏最小二乘回归方法，被称为第二代回归方法，在处理线性回归中的多重共线问题时，有着较好的效果；但在有些情况下的回归结果却并不理想。

In order to overcome the problem that the determination of non-scale interval definite and fractal dimension's computation were affected by human factors, the new method of scale transformation was presented according to the principles of notable regression effect, the smallest residual sum of squares and weak autocorrelation of residual error, which providing reference for the determination of study scale.

本文针对分形理论在描述监测站网分布时易受人为因素影响问题，提出了以回归效果显著，残差平方和最小和残差自相关性小为原则的确定尺度转折点的方法和基于GIS技术的点状数据确定尺度转折点的基本步骤，以期为研究尺度的科学确定提供参考。

The extrapolated calculation of the regression function of SVM was used to establish prediction model.The regression function that got from the nonlinear regression method of SVM can fit estimated value to historical data very well.The model can effectively avoid the influence of oil change and sample interval disaccord.This new model can be applied...

支持向量机的非线性回归方法得到的回归函数对光谱历史数据有良好的逼近效果，通过SVM回归函数的外推计算建立的SVM回归预测模型能有效消除换油和采样间隔不一致对模型预测效果的影响，具有更广泛的应用范围。

Initiation of the 6-month treatment with bena zepril induced a signif icant drop in MABP, UAER and ACE levels in all three groups(P＜0.05), but th e reduction was significantly greater in patients with II genotype (UAER 58.6%, MABP 2.87 kPa, ACE 72.3%), compared with patients with either ID or DD geno type (P＜0.01, respectivly).

结果：苯那普利治疗后3组UAER、MABP、ACE均下降，以II型组下降幅度最大(分别为58.6%、2.87kPa和72.3%)，DD型组下降幅度最小(P＜0.05)；而Ccr在DD型组下降幅度最大，II型组下降幅度最小(P＜0.05)；多元线性逐步回归分析显示：ACE基因型对UAER下降率有显著回归效果(R2=0.72，P＜0.001)。

Using panel data of listed companies, this paper analyzes it with a quantile regression approach, then draws a conclusion: the share structure and the capability of emerging interior resources effect the capital structure changeably with the different quantiles respectively. That is, for those conditions with low asset-liability ratio, the sign is positive, on the contrary, the sign is negative.

为此本文尝试着将分位数回归理论引入到回归模型中，通过对我国上市公司的相关数据进行分位数回归分析后发现，不同资产负债率水平下，企业股权结构、企业产生内部资源的能力对资本结构的影响效果不同：低负债率水平下，两者均与债务水平正相关；而高负债率水平下，又均与债务水平负相关。

By designing three hierarchical factors of "corporate governance characteristics","medium agent characteristics" and "corporate basic characteristics", we applied a more integrated and systematic approach to study the influencing factors. Besides, our hierarchical regression analysis has more explanative effects.

在影响因素的研究上，设计&公司治理结构特征&、&中介机构特征&、&公司基本特征&三个层面因素，并通过具体指标予以计量，较以往内部控制信息披露研究方面单个指标的设计，更为综合考虑和系统分析，并运用层次回归方法深入分析因果关系，相对一般信息披露研究中的普通线性回归对各个因素的作用效果分析更为清晰，回归方程具有一定的解释能力。

What are your goals and strategies for growth?

你的成长目标和策略是什么？

And unto the angel of the church in Sardis write; These things saith he that hath the seven irits of God, and the seven star I know thy works, that thou hast a name that thou livest, and art dead.

3：1 你要写信给撒狄教会的使者，说，那有神的七灵和七星的，说，我知道你的行为，按名你是活的，其实是死的。