查询词典 regression analysis

Abstract〕similar to regression analysis,cluster analysis,etc.,correlation analysis is also the basic work for information researches.canonical correlation analysis can be used to analyze the relationship between two groups of variables,and thus worth for using in information science.method of canonical correlation analysis was presented in present study.a java-based network algorithm of canonical correlation analysis was developed,which can be used to calculate the canonical correlation coefficients,canonical variable pairs,and statistical significance of canonical correlation coefficients.the algorithm may be run on java-compatible web browser.at the same time,paper publishing information and citation statistics in information science of china in past years were analyzed using the algorithm,and a number of conclusions were drawn.

摘 要〕与因果分析等一样，相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系，在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法，给出了典范相关分析的java网络算法软件，可用于计算典范相关系数，典范变量对，以及典范相关系数的统计显著性。该软件可在兼容java的网络浏览器上运行。同时，用该算法对国内情报信息论文的发文和引文统计数据进行了分析，得到了一些结论。

The mainly contents include: the research design of statistical survey, survey methods, the statistical sorting and analysis of information (contingency table, correlation measurement, inferential statistics, regression analysis, variance analysis, cluster analysis, factor analysis, principal component analysis), the composing of investigation report and the appliance of SPSS.

课程对社会统计和社会调查研究方法进行全面的介绍，要求学生牢固掌握社会统计和社会调查的基本研究方法，能熟练运用社会统计和社会调查的方法和技术从事社会研究工作，对社会统计学的概念和术语有一般程度的掌握，能应用SPSS软件进行社会统计和调查工作。本课程主要内容包括：统计调查的研究设计、资料的调查方法、资料的整理与统计分析方法（列联表、相关关系测度、推断统计、回归分析、方差分析、聚类分析、因子分析、主成分分析等）、撰写调查报告、SPSS应用等。

There are several methods can be applied in symptom complex study: Principal component analysis, Factor analysis, Cluster analysis, Regression analysis, and Correspondence analysis, etc. In this article, the author introduces the application of multivariate statistical analysis in TCM symptom complex normalization research in the following four aspects: establishing the basic symptom, filtering optimization index, settling the weight of the index, and setting up the mathematical model.

本文从确立基本证型、筛选优化指标、确立优化指标的权重、建立证候数学模型等4个环节上介绍了多元统计分析在中医证候诊断标准领域的应用，并指出：多元统计分析是研究多因素和多指标问题的统计分析方法，证候诊断学正是研究疾病的多种证型与多种症状之间的关系问题，因此，可以将多元统计分析应用于中医证候的规范化研究中。

Gradual regression analysis through specific mathematical algorithms to achieve automatic data selection and remove useless or even wrong data; The test data analysis revealed: the furfuran content have a very good correlation with polymerization degree of insulation paper, and a correlation model between furfuran content and DP was founded by regression analysis.

逐步回归分析通过偏回归平方和及显著性分析，实现对试验数据的自动分析、筛选，排除无用甚至是错误的数据；本文试验数据逐步分析结果表明：油中糠醛含量对数值与绝缘聚合度相关性最好，与现场实际分析结果一致；通过回归分析建立了绝缘聚合度与糠醛含量对数值的关系模型。

This thesis firstly elaborates on researches at home and abroad on factors affecting the development of the construction industry, defines the contents of the construction industry, introduces its function and expounds the impact mechanism of various factors affecting the construction industry. Secondly, this thesis carries on a brief analysis on the current situation of development in Anhui construction industry to reflect its achievements and shortage since the beginning of reform and opening up, and makes a comparative analysis and comprehensive evaluation on the regional development level of Anhui construction industry through the method of Factor Analysis. Thirdly, this thesis tries to calculate the contribution rate of technical progress, labor and capital in economic growth of Anhui construction industry with the method of linear regression, empirically analyze the external factors affecting the development of Anhui construction industry by means of co-integration and granger causality test, and predict the development of Anhui construction industry by using the method of principal components regression.

本文首先对国内外有关建筑业发展影响因素的研究现状进行详细论述，界定建筑业的内涵和介绍建筑业的作用，研究各因素对建筑业发展的影响机理；其次，对安徽建筑业发展现状作了概括性的分析，以反映改革开放以来安徽建筑业取得的成绩和存在的不足，并运用因子分析法对安徽建筑业区域发展水平作了比较分析和综合评价；再次，运用线性回归法测算出安徽建筑业经济增长中的技术进步贡献率、劳动贡献率和资本贡献率，然后运用协整和Granger因果检验方法实证分析安徽建筑业发展的外部影响因素，运用主成分回归方法对安徽建筑业发展作了精度较高的预测。

Statistics analytical methods adopted mainly are multiple regression analysis, logistic regression analysis, and analysis of variance.

所采用的统计分析方法主要为多元回归分析、logistic回归分析、方差分析。

Besides, by using above-mentioned methods to attest the accuracy of factors, the correct percentage of each model are closely, that are 78.19% of logistic regression analysis, 78.06% of discriminate analysis and 78.45% of probit regression analysis.

另本研究所建构之覆核模型，其总正确率分别为：Logistic回归分析为78.19%，鉴别分析为78.06%，Probit回归分析为78.45%，三者之间差异极小，但以Probit回归分析所获之预测能力较佳。

Descriptive statistics, T test, analysis of variance, Scheffe's post hoc comparison, multiple regression, stepwise regression analysis and path analysis were used to analyze the data.

采用描述性统计分析、t检定、单因子变异数分析、Scheffe事后多重相关、多元回归、逐步回归与路径分析进行资料分析。

We can use all kinds of Regression Therapy, like Inner Regression (in Certified Hypnotherapist Level) or Age Regression.

我们可以使用各种各样的回溯治疗，如『内在回溯』，『年龄回溯』。

Introduced stepwise regression method, and how to use stepwise regression to establish the best linear regression equation.

详细说明：主要介绍逐步回归的方法，并介绍如何利用逐步回归建立最佳线性回归方程。

"Please accept this talisman as a token of our thanks."

请收下这个护身符以表达我们的感谢。

If I have that magic, I will be more acceptable in the society.

如果我拥有那种魔法，我将更加被这个社会所容纳。