Carry on work in software development of data regression and engineering computation category.
承接数据回归类和工程计算类软件的编制。
And some relevant geologic data regression equations for fault scarp formed in the past 2700 years have been obtained.
获得了相应地区断层陡坎的一些资料和距今2700年左右形成的断层陡坎回归方程。
The software can be used for not only petrophysical data regression analysis, but also logging data regression analysis.
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。
Through measurement and data regression analysis at Shuibuya Hydraulic Project, the characteristics of stress field in complex rock mass are also revealed.
通过对水布垭枢纽工程的地应力测试成果和地应力场反分析成果的综合研究，展示了复杂岩体中的应力分布特征。
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.
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。
Optimization means include improvement of prediction strategy, theoretical formula calculation instead of empiric constants, and correction of formula factors with actual data regression.
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。
These transformations can linearize the data so that simple linear regression can be used to model the data.
这些转换可以使数据线性化，这样就可以使用简单线性回归来为数据建模。
Where a regression model could only give you a numerical output with specific inputs, these additional models allow you to interpret your data differently.
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。
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.
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。
In addition, a variety of data fusion models, including regression and distribution modelling, were developed using the same three vital signs.
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。
Indeed, using basic tools like simple linear regression initially is a good way to begin probing data for patterns.
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。
Various automation techniques were employed to enable stress/load testing, memory leak analysis, data integrity testing, and regression testing throughout the test effort.
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。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
Let's continue this example of a house price-based regression model, and create some real data to examine.
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。
The data were analysed using conditional logistic regression.
使用条件逻辑回归对数据进行分析。
To produce the regression model with this data set, you should follow the exact same steps you followed for the house data, so I won't repeat it.
要用这个数据集生成一个回归模型，我们需要严格地按照处理房子数据的步骤来处理这些数据，所以这里我不再赘述。
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.
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。
Additionally, this article will discuss the first technique for data mining: regression, which transforms existing data into a numerical prediction for future data.
此外，本文还会介绍数据挖掘的第一种技术：回归，意思是根据现有的数据预测未来数据的值。
This regression model is easy to use and can be used for myriad data sets.
这个回归模型很容易使用，并且可以用于很多数据集。
Because regression test material does not change significantly over time, this data remains relatively static.
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。
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。
However, data mining is much more than simply regression, and you'll find some other models are better solutions with different data sets and different output goals.
然而，数据挖掘不仅局限于简单的回归，在不同的数据集及不同的输出要求的情况下，您会发现其他的模型也许是更好的解决方案。
This paper develops a simple aggregate model of discrete-continuous demand to motivate how this correlation can be tested using simple regression techniques and readily available firm data.
在本文中，我们提供了一个简单的基于离散-连续需求的加总模型，用来说明对这种相关关系的检测如何可以用简单的回归实现。
Now that the data file has been created, it's time to create our regression model.
数据创建完成后，就可以开始创建我们的回归模型了。
Regression testing: The differential analysis and data structure views provided by MDD4J can help you track changes in memory consumption as bugs are fixed and new features are added or removed.
回归测试：MDD4J提供的各种分析和数据结构视图可在修订bug、添加或删除新特性时，帮助您跟踪内存消耗的更改。
To take this simple example to the next level, let's take a look at a data file that the WEKA Web site supplies to us as a regression example.
要想把这个简单的示例提升到一个新的级别，让我们来看一下 WEKAWeb站点上作为回归示例提供给我们的一个数据文件。
Let's put our data through the regression model and make sure the output matches the output we computed using the Weka Explorer.
让我们把我们的数据通过回归模型进行处理并确保输出与我们使用WekaExplorer计算得到的输出相匹配。
But Bebber thinks this method is the wrong one for the data, and that the team should have used a technique known as ordinal regression.
但是贝伯(Bebber)认为将这种方法用于这种数据是不正确的，并指出该团队应该使用的是一种被称为序列回归的技术。
When and how to use power, logorithmic, and other transformations to linearize the data so that simple linear regression can be used to model the data
何时以及如何使用幂、对数和其它转换来对数据进行线性化，以便用简单线性回归来对该数据建模
When and how to use power, logorithmic, and other transformations to linearize the data so that simple linear regression can be used to model the data
何时以及如何使用幂、对数和其它转换来对数据进行线性化，以便用简单线性回归来对该数据建模
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