查询词典 linear correlation

Linear regression analysis showed that the product of Freundlich adsorption constants, Kf(1/n), had a positive correlation with 1/Sw and/Sw, showing that the adsorption of acetanilide herbicides on soil was mainly controlled by the content of soil organic matter and the solubility of herbicides.

四种酰胺类除草剂的 Freundlich 吸附常数 Kf(1/n)与1/Sw 、/Sw 有很好的线性相关性，这说明它们在土壤中的吸附主要受土壤有机质含量控制；分子中酰胺 N 的醚取代基的结构差异造成的溶解度差别，是导致不同酰胺类除草剂在土壤上吸附差别的主要原因。

The Pearson correlation and multiple linear regression had done to investigate into the relationship of AHI and MRI data.

23例OSAS患者与12名性别、年龄配比的无鼾对照进行上气道MRI影像比较；并做睡眠呼吸紊乱指数与上气道MRI指标的相关与回归分析。

There was a linear positive correlation between the alkaline phosphatase activities and cell density.

液氮冷冻保存后复苏培养复层成骨细胞钙钴法碱性磷酸酶染色阳性率在45%以上，超微结构显示为高分化功能活跃成骨细胞。

In Chapter 3, the generalized skew-symmetric solutions of the matrix equation A~TXA = B on the linear manifold S ={X e GKSR~|||XY - Z}}= min, Y, Z∈ R~}, using the canonical correlation decomposition of a matrix pair, the necessary and sufficient conditions for the existence and the expressions for the generalized skew-symmetric solutions of matrix equation A~TXA — B on the linear manifold are established.

利用矩阵对的标准相关分解，给出了这类线性流形上矩阵方程A~TXA=B存在广义次对称解的充要条件及其通解表达式，并且导出了极小Frobenius范数广义次对称解的表达(来源：d7d7A7dBC论文网www.abclunwen.com)式。

In Chapter 5, the least-squares solutions bisymmetric matrix set of the matrix equation ATXA = B on two linear manifolds Si ={X BSRnxn\\\XY - Z\\ = min} and S2 ={X BSRnXn\XY = Z, YtTZi = ZjYu ZtffYi = Zi,i = 1,2, Y, Z e Rnxm}, by applying the singular value decomposition of matrix and the canonical correlation decomposition of matrix pairs, we obtain a general expression of the least-squares solutions of the matrix equation ATXA = B on two linear manifolds.

在第五章，我们研究了两类线性流形S_1={X∈BSR~|‖XY-Z‖=min}和S_2={X∈BSR~|XY=Z，Y_i~TZ_i=Z_i~TY_i，Z_iY_i+Y_i=Z_i，i=1，2，Y，Z∈R~}上矩阵方程A~TXA=B的双对称最小二乘解。

A new non-linear quadratic programming Bayesian prestack three-terms inversion method is developed; Firstly, this method is based on Bayesian parameter estimation theory, Gaussian distribution is used for likelihood function and modified Cauchy distribution is used for prior distribution; Secondly, covariance matrix is used to describe the degree of correlation between the parameters; rock physics relations are used to constrain the inversion results; at last, this method is transformed into non-linear quadratic programming problem, and inversion results are acquired under several constraints.

本文提出了一种基于非线性二次规划的叠前三参数反演方法。首先基于贝叶斯参数估计理论，假设似然函数服从高斯分布，并使待反演的参数服从于改进的Cauchy分布，从而提高了反演结果的分辨率；其次用协方差矩阵来描述参数间的相关程度，进一步提高了反演结果的稳定性；最后将问题转化为一个非线性二次规划的求解问题，并在多种约束下得到问题的解。

Namely, the first, the beginning, end and length of growing season of every type of vegetation is estimated with threshold method and moving average method, and the beginning end and length of growing season of vegetation from 1982 to 1999 is fitted linearly, finally, linear trend of the beginning end and length of growing season of vegetation is analyzed. The second, phenological phase in different years and zones is estimated based on greatest changes of slope method and EOF analysis method, and the result monitored by the two methods is compared, as a result, trend of growing season change from 1982 to 1999 in different latitude zones is better acquired. The third, phenological phase of vegetation in different spatial location from 1982 to 1999 is fitted based on curve. Then, spatial difference rules of growing season of every year and average of multi-year is discussed in article. In the end, lag correlation and linear regress are used to study relation between phenological phase of different types of vegetation, different latitude zones, different spatial places and climate changes.

利用阈值法和滑动平均法逐年估测了每种植被类型的生长季的开始、结束日期及长度；对18年中植被生长季的开始、结束时间和长度进行一次线性拟合，分析了植被生长季的开始、结束日期和长度的线性变化趋势；基于最大变化斜率法和EOF分析法估计了不同年份、不同区域内植被生长季的开始、结束时间及其长度，并对这两种方法的监测结果作了比较，从而得到了较好的不同纬度区域1982～1999年植被生长季的变化趋势；基于曲线拟合了1982～1999年的不同空间位置的植被物候期，然后讨论了每年和多年平均的植被生长季的空间分异规律；最后利用时滞相关分析和线性回归研究了不同类型植被的物候期与气候变化的相互关系，不同纬度带的植被物候期与气候变化的相互关系，植被物候期与气候变化空间相互关系。

The Zn concentration in leaf and leafstalk increased with increasing Zn supply from 0 to 160 mgL^(-1), but had no increase or even decreased when the Zn supply was higher than 160 mgL^(-1). The Zn concentration in root exhibited a positive correlation with Zn supply and its exposure time, and the kinetic curve of Zn uptake fitted linear-quadratic model, i.e., fast linear uptake first and slow saturation uptake later, with the dividing point at about 1-2 hours' exposure, which could be related with the Zn adsorption on root cell wall and the Zn transportation across the cell membrane.

在0160 mgL^(-1) Zn处理下，植株叶片和叶柄Zn含量随Zn处理水平的提高显著增加，Zn浓度大于160 mgL^(-1)后，植株叶片和叶柄Zn含量不再随介质中Zn浓度的提高而增加，根系含Zn含量与介质中的Zn浓度和培养时间呈正相关，且根系Zn吸收动力学曲线具有二型性，即开始为快速的线性吸收，随后是较缓慢的饱和吸收，两者分界点约在12h，这可能分别与根细胞壁吸附Zn和Zn跨根细胞膜运输有关。

Results the parameter estimates and it's stability of linear regression models is associated with the variation of explanatory variable between and within level 2units,and the relationship of parameter estimates and it's stability between linear regression models and variance component model is associated with level 2 residual variance or intatra-unit correlation.

结果 线性回归模型参数估计以及估计的稳定性与自变量在水平2单位间和水平2单位内的变异大小有关，线性因归模型与方差成分模型参数估计及其稳定性的关系与水平2残差方差或单位内相关系数大小有关。

The importance of testing for serial correlation in the error terms of a linear regression model has been recognized for many years. Some authors have investigated in detail this problem in the linear regression model.

多年来，人们已经认识到检验线性回归模型中误差项是否存在序列相关的重要性，(来源：ABc4C论文网www.abclunwen.com)并且对这个问题进行了广泛深入的研究。

It has been put forward that there exists single Ball point and double Ball points on the symmetrical connecting-rod curves of equilateral mechanisms.

从鲍尔点的形成原理出发，分析对称连杆曲线上鲍尔点的产生条件，提出等边机构的对称连杆曲线上有单鲍尔点和双鲍尔点。

The factory affiliated to the Group primarily manufactures multiple-purpose pincers, baking kits, knives, scissors, kitchenware, gardening tools and beauty care kits as well as other hardware tools, the annual production value of which reaches US$ 30 million dollars.

集团所属工厂主要生产多用钳、烤具、刀具、剪刀、厨具、花园工具、美容套等五金产品，年生产总值3000万美元，产品价廉物美、选料上乘、质量保证，深受国内外客户的青睐