查询词典 regression analysis

In viewof geological records preserved from different regions of the world are not identical, its suggested that, whencorrelating the Ordovician-Silurian boundary, at the global boundary stratotype section, the FAD of N.persculptus be selected as the biomark, the transgression event identical to the FAD of N. persculptus as theauxiliary physical mark and the mass extinction and chemical anomaly events respectively as the auxiliarybiomark and chemomark. In some regions with few graptolite, the Ordovician-Silurian boundary should beindicated by the auxiliary marks, such as the transgression event, mass extinction or chemical anomaly event,with the other fossil such as conodont nearest to other geological events as the provincial biomark forcorrelation. In other regions with much stratigraphic hiatus originated from the regression, theOrdovician-Silurian boundary should he marked by the regression-transgression event nearly relevant to the N.persculptus Zone.

鉴于不同地区留下的地质记录不完全相同，奥陶／志留系界线对比方法不同：在界线层型剖面上，以N.persculptus的首现为生物标志，以与之基本一致的海侵事件为辅助的物理标志，以生物集群绝灭事件和化学异常事件为辅助的生物和化学标志；在笔石极不发育的地区，则以海侵事件、生物绝灭事件或化学异常事件为辅助标志，以与其相距最近、并且具有区域对比性的其它门类化石作为界线对比的生物标志；对于由于海退事件所造成地层缺失很多的地区，则以海退／海侵事件作为划分界线的物理标志，并以相映的海侵事件的开始作为奥陶／志留系的分界。

Then, breifly introduced the arithmetic of the Multiple Linear Regression and artificial neural networks, built up the Multiple Linear Regression model and artificial neural networks model on this foundation, and forecast ice jam water level distinguishly under experiment condition and natural condition.

然后，简要地介绍了多元线性回归和人工神经网络的数学算法，在此基础上建立了多元线性回归模型和神经网络模型，并依此分别对试验条件下和天然条件下冰塞的水位进行预测。

By deep analyzing the tested value of the concrete strength with the rebound method and combining with the inverse regression theory, a rebound strength curve of three-parameter inverse regression is put forward.

基于对回弹法检测混凝土强度被检测量，结合逆回归理论提出了一种逆回归三参数回弹法测强曲线模型。

By deep analyzing the tested value of the concrete strength with the rebound method and combining with the inverse regression theory,a rebound strength curve of three-parameter inverse regression is put forward.

基于对回弹法检测混凝土强度被检测量，结合逆回归理论提出了一种逆回归三参数回弹法测强曲线模型，将随机性较大的混凝土回弹值作为因变量，随机性较小的抗压强度值作为自变量，并且增加了一个位置参数，更加符合工程的实际情况。

In involucre,amino acids content of normal chestnut had a regression equation with significant correlation,other's regression equation of contents change did not gain a notable level,also hadn't have a apparent difference between the empty shell and normal chestnut.

总苞内除正常栗氨基酸含量得到相关极显著的回归方程外，其它的含量变化回归分析均未得到显著水平，空篷栗与正常栗的差异亦不显著。

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。

The average correlative coefficients of linear regression function for isochronous stress- axial strain curve are 3.92% higher than that of average correlative coefficients of linear regression function for isochronous stress- radial strain curve, so nonlinear creep property of the fine sandstone specimen in axial direction is correspondingly weaker than that in radial direction.

应力－轴向应变等时曲线线性回归函数的平均相关系数高出应力－径向应变等时曲线线性回归函数的平均相关系数3.92%，因此其轴向非线性蠕变特性相对于径向非线性蠕变特性更弱。

Was used in this study. It included the yield of five lines (L1-L5) grown in six environments (E1-E6) in 1998. Perkins and Jinks regression model and Eberhart and Russell regression model were employed to analyze genotype × environment interaction.

本研究以农业试验所1998年秋作玉米五个品系(L1-L5)在六个地区(E1-E6)所得之产量资料，使用Perkins和Jinks回归模型与Eberhart和Russell回归模型分析交感效应，结果两种模型得到的结果相同。

Step wise regression was used and equation of multiple linear regression was established.

采用逐步回归的方法，建立多元线性回归方程。

This uses a special case of multiple linear regression called simple linear regression, with the equation

这种情况的多元线性回归成为一元线性回归，方程是

The teacher likes the honeymouthed little girl very much.

老师很喜欢这个嘴甜的小姑娘。

Mr. Notker Bien's interests are traveling, spending quality time with the family and long-distance-running.

诺特卡·柏恩先生热爱旅游，长跑，以及和家人一起共度美好时光。