1、

How do we think about how well our sample regression line fits our sample data?

我们怎样衡量我们的样本回归线拟合样本数据有多好 呢 ?

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2、

Under the condition of the sample quantity was given, the optimization problem was set up which aim is to minimum the regression variance of flexibility of base frame.

在给定样本总量的条件下,建立以挠度的回归方差最小为目标的最优因素组合的优化问题。

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3、

Taking measuring sphericity error with evenly distributed dot as an example, this dissertation brings forward the method of confirming the optimal sample size which is based on regression analysis.

以等弧布点方式测量球度误差为研究实例,提出基于回归分析法的最佳采样数确定方法。

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4、

In practical work, new sample data is often obtained continually, so these new data can be joined the empirical equation of regression by using recursive formula, and form a dynamic forecast system.

在实际工作中,往往会不断得到新样品数据,可利用递推公式不断地把新信息加入到经验回归方程中去,以构成一个动态的预测系统。

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5、

This section use the sample data, using regression analysis to build models for empirical analysis.

本部分利用样本数据,采用回归分析法,构建模型进行实证分析。

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6、

Profile analysis shows that asset income rate is an optimal method. The distinguishing rate of logistic regression model of t-1 years' sample can reach 81. 6%.

剖面分析表明资产收益率判定效果最佳,Logistic回归模型对样本t-1年的判别率达到81.6%。

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7、

Secondly, we analyze the listed companies' classification of financial assets into tradable financial assets and available-for-sale financial assets, in the year of 2009, as our research sample, and use probit regression model to test it.

然后,以2009年上市公司交易性金融资产和可供出售金融资产分类的会计政策选择为研究对象,运用概率回归模型(Probit)进行实证检验。

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8、

In the calculation part, the paper has chosen iron and steel listed companies as a sample and the growth of borrowing costs, the total assets and return on equity as indicators to build the regression model.

在计算分析部分本文以钢铁行业上市公司作为样本,以借款费用、总资产和净资产收益率的增长水平作为指标建立回归模型。

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9、

On this basis, the paper establish the linear regression equation which reflects managerial discretion and the extent of executive pay gap, and in 2009 listed 144 pharmaceutical companies as a sample, using SPSS, EXCEL and other analysis software to making an empirical test.

在此基础上,本文建立了反映经理自主权与高管薪酬差距的线性回归方程,并以2009年144家医药类上市公司为样本,利用SPSS、EXCEL等分析软件对其进行了实证检验。

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10、

First, discriminant analysis by grouping the sample is divided into financial crisis group and normal group, and then principal components factor into the model fitting Logistic regression model, and form the final prediction model.

首先通过判别分析对样本进行分组,划分为财务危机组和正常组,然后将主成分因子带入Logistic回归模型进行模型拟合,并形成最终的预警模型。

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11、

then, multiple linear regression model was constructed, and through statistical analysis by describing the sample shows capital structure and corporate performance status.

接着构建了多元线性回归模型,并通过通过描述性统计分析方法说明了样本公司资本结构及公司绩效现状。

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12、

the theory and applications of generalized logistic regression for risk analysis of fuzzy states ( 7)& estimating sample size and statistical power in case control designs

糊状态风险分析的广义Logistic回归理论与应用(7)&病例对照研究设计中样本大小与统计功效的估计

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13、

research on the approach to the sample test based on regression model and optimization algorithm

基于回归模型与优化算法的样本检验方法探讨

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14、

the whole data was analyzed by independent sample t-test, nonparametric test, correlation analysis, regression analysis and discriminate analysis.

采用独立样本t检验、非参数检验、相关分析、回归分析和判别分析对结果进行统计学处理。

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15、

In the process of regression diagnostics, using the method of the box plot to observe outliers, this article analyzes outliers and excludes them from the sample data and then goes through the regression test, ultimately gets the more robust regression model.

而在回归诊断过程中,本文采用箱线图的方法观察异常值,对异常值进行分析,通过剔除异常值的样本数据而进行回归检验,最终得到了更为稳健的回归模型。

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16、

Thereafter, we build a credit scoring model based on logistic regression by use of the first sample.

利用第一个子样本,对其财务指标应用了主成分分析,建立了基于logistic回归的小企业信用评分模型。

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