查询词典 regression analysis

Students will learn Regression Analysis, Multivariate Analysis of Variance, Discriminate Analysis, Categorical Data Analysis, Principal Component Analysis, Canonical Correlation Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling Analysis.

同学们将在本课程中学习回归分析、多变量共变数分析、鉴别分析、类别资料分析、主成分分析、正典相关分析、因素分析、集群分析、多元尺度分析常用的多变量分析模式。

On the other hand, partial Least Square Regression which is called the second generation regression method has got good result in handling the multicollinearity in multilinear regression;But under some circumstances the result of such a regression is not satisfactory.

另一方面，偏最小二乘回归方法，被称为第二代回归方法，在处理线性回归中的多重共线问题时，有着较好的效果；但在有些情况下的回归结果却并不理想。

In the regression add variables and delete the variables of each step, the regression equation of the series solution of regression coefficients, and calculation of regression coefficients significant test statistic.

在逐步回归添加变量和删除变量的每一个步骤，都要解一系列的回归方程，求回归系数，计算回归系数显著性检验的统计量。

The article present the conception of regression testing and the step of executing this testing. Introduce how to maintenance the test case library which used in regression testing ,and provide the method of ensure regression testing's validity. Finally, it gives some problem must be careful in the period of regression

本文描述了软件回归测试的概念和进行回归测试的基本步骤，介绍了可用于回归测试的测试用例库的维护方法，给出了几种可以可保证回归测试效率和有效性的回归测试策略，总结了回归测试时应该注意的一些实际问题。

The two-parameter negative exponential form could bump regression analysis degree of fitting up Least square curvilinear regression method was considered as the most conformable regression-type analysis.

回归分析的方法使用最小二乘法曲线回归方法。

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括：将政策变量划分为连续性政策变量和离散政策变量两个类型，并分别进行分析；对于连续性政策变量，采取合理的权重来合成政策综合指标，反映各主要政策指标的综合力度大小；将各政策综合指标与经济、股市变量进行回归分析，获得各类政策综合指标变量对经济、股市影响程度的大小；将经济指标数据与股市数据进行回归分析，获得经济与股市之间关系的大小；采取事件研究方法来分析其对股市的影响程度；构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组，进行差分运算，并以此与原来各主要变量组成联立方程；运用计量回归方法，求出联立方程系数用于预测。

The results showed that: with the regression analysis of Betula platyphylla, Pinus koraiensis, Abies nephrolepis, Picea koyamai var koraiensis, and Betula costata, there was a significant negative correlation between neighborhood interference index and the growth (0.40~0.89) and the correlation extent depended on the neighborhood influence zone and slope. The neighborhood influence zone corresponding to maximal regression coefficient R~2 was the neighborhood influence radius. Based on the linear subsection regression between neighborhood interference index and influence zone of five species, the neighborhood interference index increased with the increasing zone and there was a previous increasing trend in a certain scope, while the increasing trend slackened beyond the zone. The neighborhood influence zone corresponding to transition point was the neighborhood influence radius. The neighborhood interference index positively correlated with the neighborhood influence zone and the range of R~2 was 0.40-0.64. With the analysis of tree cores of Juglans mandshurica, Fraxinus mandshurica at middle and lower slope in a plot which was fostered in 1995, the distance which the growth release farthest neighborhood and object stub was judged, thus the neighborhood interference radius was inferred. According to the studies, we found that the neighborhood interference radius was different among different trees, even if the neighborhood interference radius of the identical tree species also had the difference at different slopes.

结果表明：通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与生长量回归分析发现，邻体干扰指数与生长量呈显著负相关(0.40～0.89)，相关程度因邻体影响范围和坡位而异，R~2达到最大值所对应的影响范围即为邻体影响半径；通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与影响范围的线性分段拟合，邻体干扰指数随影响范围的增加而增加，其在一定的范围内上升较快，而超出该范围后上升的幅度变慢，变化的转折点所对应的影n向范围可以判定为邻体影响半径，线性回归显著(0.40～0.64)；通过对1995a抚育的胡桃楸、水曲柳样树进行研究，分析邻体树种的中坡位和下坡位的生长锥芯，判断产生生长释放的最远邻木与基株树桩所对应的距离，推断邻体影响半径；根据研究发现，邻体影响半径因树种不同有一定的差异，即使同一树种的邻体影响半径在不同坡位也有一定的差异。

objective to explore environment risk factors of metabolic syndrome.methods a cross-sectional population survey with questionnaires investigation,checkup and laboratory measurement for metabolic syndrome was performed among 2026 teachers,and the logistic regression was used to analyze the risk factors of ms.results the education,milk intakes,fish and aquatic products intakes,body exercise and drinking tea were different significantly between male and female individuals.univariate unconditional logistic regression analysis showed that education,body exercises,fish and aquatic products intakes and drinking tea were benefited to the ms,but the age,sucrose intakes were the risk factors to the ms.the multivariate logistic stepwise regression analysis showed that compared with individuals with no drinking milk,or no fish and aquatic product intake,or no drinking tea,or no sucrose intakes,the milk intakes 250-1500 g/week(or=0.731,95%ci:0.542-0.987),the fish and aquatic product intake with 250-1000 g/week(or=0.720,95%ci: 0.541-0.959),or sucrose intakes 250 g/month(or=0.446,95%ci:0.255-0.779),drinking tea forepassed(or=0.635,95%ci:0.458-0.883),and current (or=2.084,95%ci:1.390-3.125) had different levels of risk on ms.conclusion the age and sucrose intakes are risk factors,and the milk intakes,aquatic products and drinking tea benefits for ms.

目的 了解中小学教师代谢综合征发病及其影响因素。方法采用横断面调查方法，随机抽取芜湖市中小学教师2 026名，进行问卷调查、体格检查和实验室检测，并运用logistic回归分析代谢综合征影响因素。结果不同性别的中小学教师在受教育程度、牛奶摄入、水产品摄入和饮茶习惯等方面的差异有统计学意义；其中受教育程度、体育锻炼、水产品摄入和饮茶是保护因素，而年龄、工作紧张程度、糖的摄入可能是代谢综合征的危险因素。logistic逐步回归分析结果提示，牛奶摄入、水产品摄入和饮茶是代谢综合征的保护因素，而年龄和糖摄入是代谢综合征的危险因素，其中牛奶摄入在250～1500 g/周(or=0.731，95% ci=0.542～0.987)，水产品摄入在250～1000 g/周(or=0.720，95% ci=0.541～0.959)以及以前饮茶（or=0.446，95% ci=0.255～0.779和现在正在饮茶(or=0.635，95% ci=0.458～0.883)，对代谢综合征的保护作用明显，而糖摄入250 g/月时代谢综合征的患病的危险是不食用食糖的2倍(or=2.084，95% ci=1.390～3.125)。结论年龄和糖摄入是代谢综合征患病的危险因素，而牛奶、水产品和饮茶是代谢综合征的保护因素。

Statistic; the display and measure of section array; the display and analysis of time array; the estimation of parameters; hypothesis testing; simple regression analysis and multi-regression analysis; and word processing the results of analysis.

包括：SPSS和EXCEL的概述、统计数据的输入、统计数据的整理、横断面数列的展示和测量、时间数列的展示和解析、参数估计、假设检验、简单回归分析和多元回归分析、统计分析结果的文字处理和文字编辑。

Descriptive statistics, factor analysis, analysis of variation, simple linear regression, and multiple regression analysis are used to conduct analysis.

以描述性统计、因数分析、变异数分析、简单回归与复回归分析等统计方法进行分析。

"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。