After adjusted by the C-reactive protein level in multivariate model, the elevated MPO activity of 10 units was attributed to an increased cardiovascular risk for 20.4%.
在多变量模型中，经c -反应蛋白水平校正后，MPO活性每增加10单位，合并心血管疾病的危险增加20.4%。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
结论：多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
Multivariate linear model of measurement of forest ecological benefit was set up according to index system of measurement.
按照以上建立的计量指标体系，建立了森林生态效益计量的多元线性模型。
Multivariate grey prediction model shows enough precision to predict the strength development and service life of concrete subjected to sulfate environment.
多元灰预测模型呈现出较高的精度以预测硫酸盐侵蚀环境下混凝土的强度劣化规律和服役寿命。
By constructing multivariate regression model, the paper analyzes whether the share structure of the fund management company influences its funds performance.
本文通过构建多元回归模型，研究基金管理公司股权结构对其所辖基金的绩效所产生的影响。
Testing these various markers against each other in a multivariate setting to develop a risk model has not yet been achieved.
为了建立一个危险的模型而对多元环境中不同种类的标记物的相互作用的测试还未完成。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
The transfer function-noise model is a kind of multivariate time series model which has much advantage in expressing dynamic mechanism of a system.
传递函数———噪声模型是一类多变量时间序列模型，它在表达系统动态影响机制方面有着独到的优势。
A model identification method on multivariate system step response based on least Square is given out.
提出了一种基于最小二乘的多变量系统阶跃响应的模型辨识方法。
Multivariate analysis was done by COX proportional hazard model.
多因素分析：COX比例风险模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
For better detection to the thermal generating set equipment fault, using the multivariate statistical process control, a more precise equipment parameter model is obtained.
为了更好的对火电厂发电机组设备故障进行检测，运用多变量统计过程控制技术获得更为精确的机组设备参数模型。
For modeling the multilevel few sample or irregular data, the accumulated multilevel statistical models of multivariate full model was built on ordinary multilevel statistical models.
为了解决多层的少样本或无规则数据的建模问题，在一般多层统计模型的基础上提出了多变量整体模式的累加多层统计模型。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
This paper USES multivariate regression model to investigate the IPO underpricing in the H-shares market.
文章通过多元回归模型考察了H股IPO抑价的影响因素。
The model of post-dynamic recrystallization has been obtained by using multivariate nonlinear regression analysis.
采用多元非线性回归法得到了后动态再结晶模型。
The present paper is devoted to the problem of assessing local influences in a multivariate t- model with uniform structure.
本文研究具有均匀结构的多元t-模型的局部影响分析问题。
This paper develops and tests a new Multivariate Cumulative Sum (MCS) model for assessing a countrys foreign debt risk.
本文提出了一个用于预警一国外债风险的动态模型，即多元累计和模型。
We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
A subspace graphical representation model of multivariate data is proposed, which unites several traditional multivariate data visualization methods into the same representation framework.
本文提出多元数据的子空间坐标图表示模型，该模型可以将这些传统多元图表示方法统一到同一个表示框架。
In this article, the author concerned with a better description of the volatility and correlations under multivariate GARCH model compared with univariate GARCH model.
在这篇文章里，笔者主要关注当同时考察多支金融时间序列的波动时，多元GARCH模型相比于一元GARCH模型而言，对相关系数和波动性的更好的描述。
The valuable influence factors were filtrated and formulated with multivariate regression analysis model.
用多元线性回归模型筛选出对预后有影响的因素，并比较各因素的影响大小。
Spectral decomposition estimators of variance component matrix in mixed linear model are generalized to multivariate mixed linear model.
考虑含有两个方差分量矩阵的多元混合模型，将一元混合模型下的谱分解估计推广到多元模型下。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
A new multivariate linear model was proposed to associate viscosity and group composition of heavy oil. Multiple correlation coefficient of the model is 0.9885.
提出了一种能对稠油族组成与粘度进行较好关联的多元线性模型，其复相关系数为0.9885。
A multivariate regression equation was deduced with a multivariate linear regression model.
通过多元线性回归模型，得出了多因子复合流变方程。
A model showing dynamic change of groundwater level for Shenyang area is set up, using the method of multivariate linear regression in random model.
作者应用随机模型中多元线性回归的方法建立了沈阳地区地下水位动态变化模型。
In this paper we define a class of biased linear estimators for the parameter matrix in the multivariate linear model with deficient rank and discuss some important properties.
本文对降秩多元线性模型的参数阵提出了一类有偏线性估计，讨论了许多重要的性质，从而把降秩模型中参数阵的估计问题转化为满秩模型中参数阵的估计问题。
In this paper we define a class of biased linear estimators for the parameter matrix in the multivariate linear model with deficient rank and discuss some important properties.
本文对降秩多元线性模型的参数阵提出了一类有偏线性估计，讨论了许多重要的性质，从而把降秩模型中参数阵的估计问题转化为满秩模型中参数阵的估计问题。
应用推荐