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。
Regression in data mining is a statistical method that seeks to make certain predictions about data.
数据挖掘中的回归分析（Regression）是一种统计方法，旨在做出数据的某些预言。
for the most part they'll tell you that they did but the problem is this could be a statistical byproduct of what's called "regression to the mean."
大部分人会说好起来了,但问题是，这很可能是一个所谓,“趋均数回归效应“的统计副产物
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。
The regression statistical method has been used to analyze the law of stress and strain as The Times under the function of axial load increases.
研究了铺装层应力场分布，回归统计了随轴载作用次数增加，应力应变的变化规律。
Testing equality of two Regression functions has long been an interesting issue in statistical inference.
两个回归参数相等性检验一直是统计界感兴趣的问题之一。
We adopt the idea of cointegration and apply the methods that are more generalized than cointegration regression to study the Statistical Arbitrage Models of the securities.
本文借鉴协整的思想，并采用比协整回归更一般化的方法来研究股票之间的统计套利模型。
If there appears to be a linear relationship test results should be established by appropriate statistical methods (e. g. by calculation of a regression line by the method of least squares).
如果其呈现线性关系，测试结果应该通过适当的统计学方法(例如，以最小二乘方来计算回归线)来确立。
In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.
第三章是关于回归系数的可容许估计，这包括统计线性模型不受约束和受约束的情形。
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。
Then, the empirical distributing probability model of merging spots was set up by using regression techniques and statistical methods.
运用回归技术和统计方法，建立了加速车道合流点分布概率的实测经验模型。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Based on this, an on-line evaluation model of process stability with statistical method and partial-least-square regression (PLSR) was set up which overcome the multicollinearity of input parameters.
采用统计分析和偏最小二乘回归方法提出了过程稳定性在线评价模型，克服了输入变量严重多重相关性的问题。
This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
本文论述多元线性回归中的回归系数与偏相关系数之间的数量关系以及它们的统计意义。
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。
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。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
To counter the problem of multiple linear regression in statistical forecast, we put forward the method that designs computer software and makes it come true.
本文针对统计预测中的多元线性回归问题，提出了计算机软件的设计与实现方法。
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。
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。
Since the algorithm does not require a prior regression model with unknown variables, it can be utilized in the circumstances where other traditional statistical regression algorithms fail.
该算法由于不需要先验地建立一个参数未知的回归模型，因此可以用在其他传统统计回归算法失效的场合。
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。
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。
Secondly, based on the system, evaluation model has set up by utilizing statistical linear regression model method.
其次，在此评价指标体系的基础上，利用统计中的线性回归模型的方法建立了评价模型。
The statistical theorem and method of ridge regression were introduced, and the difference and relationship between ridge regression and traditional regression were expounded.
介绍了脊回归的统计学原理和方法；阐述了脊回归和常规回归的差别和关系。
The defects of forecasting disease and pest of mulberry trees by the method of convention statistical regression were analyzed in present paper, and its corresponding improved measures were suggested.
分析了用常规统计分析回归法在桑树病虫害预测预报中所存在的缺陷，提出了改进的思路。
The defects of forecasting disease and pest of mulberry trees by the method of convention statistical regression were analyzed in present paper, and its corresponding improved measures were suggested.
分析了用常规统计分析回归法在桑树病虫害预测预报中所存在的缺陷，提出了改进的思路。
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