解释变量

SES自上世纪40年代被提出以后，使用SES作为解释变量或使用SES作为控制变量的研究急剧增加。

It was proposed in 1940s , since then the use of SES as an explanatory variable or as a control variable in health research has increased dramatically .

因此，我们用EVA指标作为公司绩效的衡量指标，并最终采用单位资本经济增加值（EVAPA）为被解释变量纳入实证分析的研究。

Therefore , we use EVA index as a measure of corporate performance indicators and the eventual adoption of economic value added per unit of capital ( EVAPA ) as being the explanatory variable into the empirical analysis studies , The empirical study aimed to analyze the .

最后，反撇号解释变量并作为子shell运行中间结果。

Finally , the back quotes both interpret the variable and run the intermediate result as a subshell .

对解释变量为非随机设计矩阵xi这一比较常见情形的M-估计递推算法进行了研究。

The recursive M-estimation algorithm was studied when the explanatory variables were design matrices .

本文考虑一类临床试验中的解释变量即依从性（Compliance）有随机量测误差的情形。

This article is concerned with the clinical trials in which the compliance is measured with random errors .

EV模型是考虑到被解释变量和各个解释变量都含有测量误差的回归模型。

EV models consider the error of explanatory variables and explanatory variables .

在shell脚本中，注释的另一个极其有帮助的用途是，解释变量的有效值以及解释返回码的含义。

Another extremely helpful use for comments in shell scripts is to explain what variables may be as well as explaining return codes .

建立的回归方程能解释变量间的相关问题，通过了F检验和t检验，但拟合优度并不高。

Regression equation explained the variables by the F test and t test , but the goodness of fit was not high .

除了传统意义上影响贸易的因素，该模型的解释变量还包括外国直接投资（FDI）。

The model includes as explanatory factors both the traditional determinants of trade and also the stock of foreign direct investment ( FDI ) .

本文研究解释变量为（x，T）的部分线性变量含误差模型，其中x为固定变量，T为随机变量。

This paper studies a partially linear errors-in-variables model with a vector ( x , T ) of explanatory variables , where x is fixed and T is random .

影响IPO抑价的因素很多，本文由于数据来源问题只挑选了11个解释变量，可能在理论分析方面并不全面，这需要以后进一步的探索与研究。

Many factors influence the IPO under-pricing , but the number of explanatory variables in this paper is small . This requires further exploration and research .

然后建立了多元线性回归模型，将净资产收益率和托宾Q值分别作为解释变量带入回归方程进行分析。

Then establish the model of multivariate and linear regression , bring the rate of return on net assets and Tobin ' Q to the regression analysis model as explanatory variables .

然后运用logistic回归分析，进一步考察发行可转债公司和增发、配股公司财务特征上解释变量的部分影响。

Then , using logistic regression analysis to conduct further review for the partial influence of explanatory variables in characteristics of issue convertible companies , additional issue and match section companies .

通过引进表示经济衰退的解释变量，我们检验了中国实际季度GDP序列当中存在的非对称性，说明这些非对称性主要是由模型的非线性结构形成的。

By inducing the measurements of recession degree , we have tested the asymmetry in quarterly real GDP data of China 's economy , and showed that it is caused by the nonlinear structural model .

以托宾Q值为被解释变量、股权结构为解释变量，从公司治理的角度考察了股权结构对公司业绩的影响。

This paper studies the effect of ownership structure on firm performance ( FP ) from the point of corporate governance , using Tobin 's Q as dependent variable and ownership structure as independent variables .

实际操作中，被估计系数精确取零是极其罕见的，所以，当加入一个新解释变量后，一般来说，SSR会降低。

In practice it is extremely unusual for an estimated coefficient to be exactly zero , so in general the SSR will decrease when a new regressor is added .

所以本文选用上市日行业收益率作为解释变量，从理论构建和实证研究两方面去分析对其IPO溢价程度的影响。

All paper listed at the industry rate of return used as explanatory variables , in theory building and empirical research to analyze both the extent of the impact of IPO premium .

同时，第二产业比重、经济增长速度、单位GDP能耗和环境政策强度四个解释变量总体上对3个大气污染物的排放具有显著影响，并包含明确的政策含义。

The industrial ratio , rate of economic growth , energy consumption per GDP , and environmental policy are significant in affecting the emission of the three air pollutants in general , and have policy implications .

然后运用Logistic回归分析判断出哪些因素是导致车展观众作出观展决策行为的解释变量，以及这些变量的影响大小和方向。

And then Logistic regression analysis was used to determine which factors are out to show the audience view of the explanatory variables show decision-making behavior , and how these variables influence the size and direction .

以订单预测阶段为研究对象，归纳出协同合作下订单需求的影响因素作为模型的解释变量，然后结合传统时间序列与多元回归分析，建立了基于CPFR的订单预测模型。

This paper concludes the influencing factors of collaborative order demand , and takes them as model explanatory variables .

其次，文章关注税率与其他解释变量之间的交叉关系对FDI的影响，认为税率效应的大小受到外生经济变量的制约。

Secondly , the paper concerns about the interaction between the tax rate and other explanatory variables on FDI , and thinks that the tax effect is constrained by the size of the exogenous economic variables .

同时，随着时间的变化与社会经济发展，中国也已出现一些新的解释变量引导AH股价差变化，也正是在这些因素的综合影响下，价格出现趋同。

At the same time , some new repressors have emerged to guide the price difference change . It is under the influences of all these factors that the price appears to converge .

文章首先利用描述性统计分析了各解释变量之间的相关性，然后经过单变量分析及线性回归模型进一步验证了我国创业板上市公司在IPO前存在盈余管理的行为。

During the beginning of the empirical research , the first to use descriptive statistics , univariate analysis and linear regression model is further validation of GEM listed companies in the pre-IPO earnings management behavior .

本章首先对主要解释变量进行了描述性统计和单变量分析。中位数检验的结果初步验证了本文的预期，即IPO企业在首次公开发行时实施了多种盈余管理方式。

This chapter first carried on the descriptive statistics to the main explanatory variable , the average value check result had indicated initially the IPO enterprise implemented should count the earnings management and the real earnings management .

继而以泡沫度为被解释变量，选择GDP增长率、人均可支配收入增长率等八个指标作为解释变量构建泡沫度影响因素模型。

And then with the bubble degrees as the dependent variable , we choose GDP growth rate , per-capita disposable income growth rate and the other six indexes as the independent variables to construct the bubble degrees model of influence factors .

另外，为了更好地研究影响我国创业板IPO抑价程度的因素，我们分别将绝对抑价率和相对抑价率作为被解释变量，并分别对其进行回归分析。

Moreover , to better investigate the factors affecting the level of IPO under-pricing in the Growth Enterprise Market , absolute under-pricing rate and relative under-pricing rate are selected as the dependent variable respectively to make regression analysis .

第四章作为实证检验的基础，介绍了DEA数据包络分析模型，并用该模型测度了样本银行的超效率值作为实证检验的被解释变量。

As the foundation of empirical test , chapter four introduces DEA data envelopment analysis model and uses the model to estimate the super efficiency value of sample banks as the explained variables of the empirical test .

构建的协同订单预测模型将CPFR流程下买卖双方所取得的协同信息作为订单量解释变量，这样模型可以更好地反映订单特性，预测模型的绩效与品质会更佳。

The collaborative order forecasting model established in the paper chooses collaborative information as explanation variable . Hence , the model can represent order feature .

文中，选取企业业绩作为被解释变量，本文将选择总资产收益率（ROA）作为企业业绩的指标。

Select the enterprise performance as the explained variables , and select the total return on assets ( ROA ) as indicators of corporate performance .

非线性随机解释变量模型参数NLLS估计的渐近正态性

The Asymptotic Normality on the NLLS Estimator for Nonlinear Stochastic Explanatory Variables Econometric Model