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属性变量的英文

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"属性变量"怎么读用"属性变量"造句

英文翻译手机手机版

  • attribute variable
  • property variable

例句与用法

  • Utility provides access to all the package configuration and execution features , such as connections , properties , variables , logging , and progress indicators
    实用工具,可以访问包的所有配置和执行功能,如连接属性变量日志记录和进度指示器。
  • You should take care that no client - specific data is stored into such a field , since on a later request the same page instance may be used for a different user
    你需要注意的是没有客户细节的数据被存在这个属性变量里,因为后面的请求,相同页面实例可能被不同用户使用。
  • Class to the reference . cs file under the endpoint class definition " sql endpoint " , you would add the following line of code : public class sql endpoint : system . web . services . protocols . soaphttpclientprotocol public sqlsoapheader . security sqlsecurity add the appropriate
    类的名为sqlsecurity的公共属性变量添加到端点类定义( sql _ endpoint )下的reference . cs文件中,您需要添加以下代码行:
  • Based on the distinction of monetary effect and efficiency and taken the monthly data of 1999 . 12 - 2006 . 6 as sample , this paper studies the relations of integrated variables with the method of canonical correlation analysis , empirically tests the combined transmission efficiency of monetary policy based on multicomponent reaction models , and finally it indicates that , in the sample range , monetary operation tools married up better , the holistic transmission efficiency is relatively high , while there exists efficiency derogation in external transmission system , but also a big space of promotion
    摘要在区分货币政策效果和效率的基础上,本文以1999年12月2006年6月的数据为样本,借助典型相关分析,对货币政策传导中同属性变量进行整组压缩,研究整组变量间的关系,并结合交互影响的多元反馈模型,对我国货币政策传导的综合效率进行了检验,得出结论:样本区间内,货币政策工具实现了良好的配合,整体传导效率高,外部传导存在着效率减损,但有很大提升空间。
  • By using the multi - linearity regression model and the non - linearity logit model on the 123 listed companies of china in 2002 respectively , this paper also documents : after controlling the firm characteristics variables , the corporate governance variable increases the explanation power of the multi - linearity equation and it is positively related to enterprise credit significantly ; in the non - linearity logit model , we find that corporate governance has different effects on the companies that own dissimilar credit ratings , the improvement of corporate governance will powerfully upgrade the enterprise credit especially when the company owns a lower credit rating
    在实证方面,本文运用多元线性回归法与logit非线性法对我国2002年123家上市公司进行了实证研究:在多元线性回归法中,在控制了影响企业信用的企业属性变量的基础方程中加入公司治理变量,发现公司治理变量的加入有助于加大方程的解释力度,并且两者在统计意义上显著正相关,说明良好的公司治理能在一定程度上提升上市公司的信用水平;在logit非线性方程中,我们发现企业信用水平不同时,公司治理对上市公司企业信用的影响是不同的,尤其是当企业信用水平较低时,公司治理的改善能在较大程度上提高上市公司的企业信用。
  • The content includes the analysis of the reason which influenced the turnover intention of employees , the analysis of the vital statistics factors influencing the factors related to turnover , the analysis for the relationship between vital statistics and turnover intention and the analysis for the process of turnover intention . the research result has displayed that the four hyphothesis , the vital statistics variable , the environment variable , personal character variable and organizational variable have influence to the turnover intention of employees . the vital statistics variable , environment variable and personal character variable have obviously influence
    研究结果显示,本课题的四个研究假设:人口统计学变量、环境变量、个人属性变量以及组织属性变量整体对员工离职倾向有显著影响;人口统计学变量、环境变量、个人属性变量和组织属性变量中的每个因素对员工离职倾向都有显著影响;人口统计学变量对员工离职主要因素以及离职倾向变量的差异统计显著;组织承诺的三种承诺对员工离职倾向与主要影响因素的中介效果统计显著都部分成立。
  • Cf is a kind of non - different recommendation to all customers , so it is may appear that the company spend much cost but have little revenue . recently a new recommend technology base on lifetime value of customers have emerged , the centre of the technology is to use the weighed sum of the three variable to classify the customers and the reason of use weighed variable is that think about the relative important degree . then we can recommend products according to the association rule in the classify of same clv . the shortcoming of this recommendation is that the recommendation may have some error when the customers ’ data is not enough to form regular value
    近年来出现了一种采用基于客户生命周期值的加权rfm (表示客户生命周期的三个指标变量)技术的推荐方法,这一技术的核心思想就是采用这三个客户属性变量的加权和的方法来对客户进行聚类,其中为变量加权是考虑到不同变量对顾客产生的不同重要程度的影响。对符合某一生命周期类型的客户按照商品挖掘关联技术进行商品推荐。这种推荐方法的弊端在于当客户的交易数据不足以形成规律化的量值时,推荐可能会出现偏差。
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