由实验数据回归出模型中的各个参数。
Parameters of mathematical models have been obtained by the regression analysis on the experimental data.
将截断数据回归模型转化成半参数回归模型。
We change the truncated regression model into the semiparametric regression model.
为用户做多维数据和其它特殊数据回归的建模。
Building regression model of multi dimension data and special data for users.
本文提出了有关混凝土强度数据回归分析的几个应注意的问题。
The paper presents some points for attention in regression analysis of concrete strength data.
基于不完全数据顺序统计量，提出一种不完全数据回归分析方法。
Based on the order statistics of incomplete data, a regression analysis method for incomplete data is presented.
通过因次分析和实验数据回归建立了新型微旋流沉降器的无因次准数模型。
A model of dimensionless numbers for a novel micro-cyclone clarifier was established through the method of dimensional analysis and regression of experimental data.
应用实验数据回归了动力学模型参数，并将模型预测值与实验值进行了比较。
The kinetic models of cell growth and lipid formation were established, and the model parameters were regressed with the experimental data.
该软件不仅可用于岩电实验数据回归分析，而且还可用于测井数据的回归分析。
The software can be used for not only petrophysical data regression analysis, but also logging data regression analysis.
通过对监测数据回归分析，可以预测测点可能的最终位移值和既有线路的安全状况。
According to the monitor data analysis which has been carried on the regression method, we can forecast the finally displacement value and the line security condition.
结果表明，软件可以实现数据的不同方式拟合、多变量数据回归和未知实验数据点预测。
The data simulation in different manners, regression of multiple variables, and prediction of experimental data can be achieved by using of this software.
本文采用最小二乘法回归分析，将湿敏元件的测试数据回归成多项式，获得元件的静态数学模型。
A static mathematical model of humidity sensing element is obtained using least square regression analysis, through regression of measured data into polynomial expression.
系统测试的数据偏差，可以采用数据回归的方法来进行校正，从而实现数据准确性条件下的快速检测。
Data deviation of the system can be revised well by mathematics method. Then it can realize the fast test and accurate data.
将实验数据回归分析，在此基础上得出两类控制顶点权因子的改变对NURBS曲线长度不同的影响结果。
Analyzing the experimental datum by regression, it draws the different influences of the modification of the weights of two kinds of control points on length of NURBS curve.
其中优化手段主要包括预测策略的改进，采用理论公式计算值替代经验常数，通过实际数据回归修正公式系数等。
Optimization means include improvement of prediction strategy, theoretical formula calculation instead of empiric constants, and correction of formula factors with actual data regression.
文章从技术经济角度就近10年以来聚酯原料和产品价格之间的相互关系、变化情况进行了数据回归分析和说明。
To introduce the relationship on prices of polyester products chain in the past 10 years from techno-economic point of view.
基于此，本文构建了条件双因子评价模型，并且以中国全部54只封闭式基金为样本采用面板数据回归技巧验证了该模型的有效性。
This paper builds a conditional two-factor measure model, and proves the efficiency of this model using panel data regression skill. The samples are 54 Chinese close-end funds.
根据试验数据回归得出了混凝土普通砖砌体的抗压强度和抗剪强度的建议计算公式，并绘制了混凝土普通砖砌体的抗压应力应变关系曲线。
Based on the experimental dates, the compressive strength and the shear strength advised formulas of concrete common brick masonry are proposed, and the stress-strain curve is plotted.
利用这些数据，我们进行了回归分析，以农村保留工资加以衡量探讨今后医疗工作者在农村工作意愿的决定因素。
Using these data, we performed a regression analysis to examine the determinants of future health workers' willingness to work in rural areas as measured by rural reservation wages.
此外，各种数据融合模型，包括回归和分布的建模，正在使用相同的三个生命体征进行开发。
In addition, a variety of data fusion models, including regression and distribution modelling, were developed using the same three vital signs.
如果回归模型只能为特定输入提供一个数值输出，那么这两种模型则允许您对数据做不同的解析。
Where a regression model could only give you a numerical output with specific inputs, these additional models allow you to interpret your data differently.
实际上，在开始时使用简单线性回归这样的基本工具是着手探究数据模式的好方法。
Indeed, using basic tools like simple linear regression initially is a good way to begin probing data for patterns.
在测试过程中，使用各种自动化的技术来启用压力/负载测试、内存泄漏分析、数据完整性测试，和回归测试。
Various automation techniques were employed to enable stress/load testing, memory leak analysis, data integrity testing, and regression testing throughout the test effort.
让我们继续以这个房屋定价的回归模型为例，创建一些真实的数据。
Let's continue this example of a house price-based regression model, and create some real data to examine.
使用条件逻辑回归对数据进行分析。
The data were analysed using conditional logistic regression.
我还谈到了第一种数据挖掘的方法—回归—使用它可以根据一组给定的输入值预测数字值。
I also talked about the first method of data mining - regression - which allows you to predict a numerical value for a given set of input values.
这个回归模型很容易使用，并且可以用于很多数据集。
This regression model is easy to use and can be used for myriad data sets.
因为回归测试材料随着时间的推移变化得不大，那么此数据仍旧相对静态。
Because regression test material does not change significantly over time, this data remains relatively static.
所以，即使要处理的是具有大量数据的功能强大的回归模型，就计算而言，也不是什么问题。
So it's not a problem, computationally, to create a powerful regression model from a lot of data.
所以，即使要处理的是具有大量数据的功能强大的回归模型，就计算而言，也不是什么问题。
So it's not a problem, computationally, to create a powerful regression model from a lot of data.
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