The formula for computing frost depth and frozen-heave factor is puted forword through statistical regression analysis.
经过统计回归分析，提出设计冻深与冻胀率的计算公式。
As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.
作为主要估计方法之一的模糊最小二乘估计以其与统计最小二乘估计的密切联系更受到人们的重视。
If you study the output of the leading statistical packages for regression analysis, you will notice that they tend to group the output in the same manner.
如果研究用于回归分析的主要统计软件包的输出，就会发现它们往往是用同样的方式对输出进行分组的。
Many use R mainly in an ad hoc way—to plot a histogram here, perform a regression analysis there, and carry out other discrete tasks involving statistical operations.
许多人仅是为了一些特别的目的——制作柱状图、做还原分析、或是完成一些涉及统计操作的分散任务——才使用R编程。
Students examine the application of statistical analysis, hypothesis testing, and regression analysis in business decision making.
在本课程中，学生将学习统计分析、假设检验、回归分析等知识在商业决策中的应用。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.
本文比较系统地研究了非线性分位点回归模型的统计诊断，尤其是影响分析等。
Statistical inference under order restrictions is an important area of statistical analysis, isotonic regression theory plays a key role in this field.
在序限制下的统计推断是统计分析中的一个重要领域。保序回归理论在这个领域中起着关键性的作用。
Statistical inference under order restrictions is an important area of statistical analysis and isotonic regression theory plays a key role in this field.
约束条件下的统计推断巳成为统计分析中一个重要的研究领域，而保序回归的研究又是其中之关键。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
The collected data analyzed by descriptive statistics, factor analysis, correlation analysis, linear regression analysis of analysis of statistical methods, such as finishing.
所得资料以叙述统计分析、因素分析、相关分析、直线回归分析等统计方法进行分析整理。
For the regression equation, statistical optimum choosing, and the analysis of dimension reduced and margin effect have been analyzed.
对回归方程进行了统计选优，降维分析，边际效应分析。
For the regression equation, statistical optimum choosing, and the analysis of dimension reduced and margin effect has been analyzed.
对回归方程进行了统计选优，降维分析，边际效应分析。
Method Statistical methods of linear regression, multiple stepwised regression, two-way ANOVA were used to analysis the relation of TTS with audition, noise level, working-year and age.
方法应用直线相关回归、逐步多元回归和协方差分析等统计学方法分析暂时性听阈位移与听阈、噪声强度、工龄、年龄等因素之间的关系。
Through statistical analysis only the former two linear regression can be fractional quantitative characterization of the reservoir characteristics and pore structure characteristics.
经过统计分析只有前两段回归直线得到的分数维才能定量表征储层的物性特征和孔隙结构特征。
After conducting this survey, using SPSS17.0 statistical analysis of the questionnaire, mainly including reliability and validity analysis, correlation analysis, regression analysis.
本文在进行问卷调查之后，运用SPSS17.0对问卷进行统计分析，主要包括信度和效度分析，相关分析、回归分析、方差检验等。
Meanwhile divides them into three sectors namely 2004, 2005 and2006, then analyzing them the statistical characteristic and multiple regression analysis.
同时将样本分为三个区间即2004年、2005年与2006年。最后对数据进行分阶段的统计特征分析、多因素回归分析。
Descriptive statistical analysis, reliability and validity analysis, factor analysis, regression analysis were adopted in analysis.
在资料分析上采用描述性统计分析、信度和效度分析、因子分析、回归分析等方法。
In the data analysis, theoretical assumptions and model was tested through Descriptive Statistical analysis, ANOVA, Bivariate Correlations analysis, and Linear Regression analysis and so on.
采用描述性统计分析、单因素方差分析、相关分析、回归分析等统计分析方法对调查数据进行分析，对理论假设和模型进行验证。
Through the design of it's energy statistical evaluation of regression model, it USES with Q enterprises as an example for the empirical analysis of energy issues.
通过设计对道路运输企业进行能耗统计评价的回归模型，并以Q企业为例对我国道路运输企业的能耗问题进行实证分析。
The questionnaire descriptive statistical analysis, the difference analysis, correlation analysis and regression analysis.
对问卷进行描述性统计分析，差异性分析、相关分析、回归分析。
Results to simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...
结果将GLM简化成适用于回归分析、方差和协方差分析、多水平模型等具体的统计模型。
In data processing, some standard research methods, such as regression analysis, correlation analysis, variance analysis, and other statistical methods are employed.
在数据处理方面，采用了探索性因素分析、回归分析、相关分析、方差分析等统计方法。
The analysis for university students' quality is carried out by using multivariate statistical analysis, regression analysis etc. mathematical statistics methods in this paper.
本文利用多元统计分析、回归分析等数理统计方法对大学生素质进行了分析。
Then it establishes a stepwise statistical regression model. Finally, the model prediction effect is comparative analysis by comparing the characteristic parameters of the model.
并建立了逐步回归统计模型，通过对比模型的预测特征参数，比较分析了模型间的预测效果。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
By using the statistical software, SPSS11.0 and LISREL8.70, we did the descriptive analysis, factor analysis, correlation analysis and regression analysis.
运用统计软件SPSS11.0与LISREL8.70进行描述性分析、因子分析、相关分析和回归分析。
The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
所用到的统计学方法有一般的统计描述(如均数与标准差)，以及重复测量方差分析，聚类分析，多重线形回归等。
The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
所用到的统计学方法有一般的统计描述(如均数与标准差)，以及重复测量方差分析，聚类分析，多重线形回归等。
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