查询词典 regression analysis

Unitary linear regression is done between w~e、 w~ρ、 e~ρ、w_L~w_P. For α_v 、 C_ c between w、ρ、 e、 w_P in eastern China, unitary linear regression is done to silty clay as well as multivariant regression with coefficient iteration method and least-squares procedure are done to all kinds of soil, and the two results are compared. Unitary linear regression and multivariant regression are done to c_q、φ、 c_d、φ_d between e and I_P. Unitary linear regression and multivariant linear regression are done to napierian logarithm of q_u between e 、 I_L、 w_P and w_L, then the equations of regression are checked with other parameters.

对物理指标含水量～孔隙比、含水量～湿密度、孔隙比～湿密度、液限～塑限作了一元线性回归；对华东地区粉质粘土的压缩系数、压缩指数和含水量、湿密度、孔隙比及塑性指数作了一元线性回归；对华东地区所有土类的压缩系数、压缩指数和物理性质参数用系数迭代法和最小二乘法作了多元线性和非线性回归，并对两种方法得到的回归结果作了比较；作了快剪强度指标和固结快剪强度指标关于孔隙比和塑性指数的一元线性回归和多元线性及非线性回归；对无侧限抗压强度的自然对数值和孔隙比、液性指数、液限及塑限作了一元和多元线性回归，并用其它工程的参数对回归方程进行了检验。

Topics covered by this course are:(1) Simple linear regression,(2) Inference based on fitted regression model,(3) prediction based on fitted regression model,(4) Application of simple linear regression,(5) Verification of regression assumption,(6) Multiple regression,(7) Qualitative independent variables,(8) Multicollinearity, and (9) Stepwise regression.

课程内容包含：（1）简单线性回归；（2）回归模式适合性的推论；（3）利用回归模式的预测；（4）线性回归的应用；（5）回归模式假设条件的检定；（6）复回归模式；（7）质量性独立变数的处置；（8）共线性的探测；与（9）逐步回归分析法。

Based on cloud seeding data on April 5,2002 in Henan province,cloud seeding effects were evaluated by six methods,i.e.double contrast method of regional rainfall tendency control,regression analysis method of regional tendency correlation,multiple regression analysis method of regional tendency covariant,floating control historical regression method,cluster-analysis-based floating control historical regression method using rainfall as a covariant and CA-FCM using rainfall and atmospheric perceivable water as covariants.

根据2002年4月5日河南省人工催化增雨作业数据，分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归评估方案、区域趋势协变量多元回归评估方案、FCM评估方案、以降水量为协变量的CA-FCM评估方案和以降水量与整层大气可降水量为协变量的CA-FCM评估方案进行效果评估。

The contents from the third chapter to the fifth chapter are the kernels which are a series of applications of generalized regression model and generalized regression estimator. At first, this paper constructs ratio model, linear regression model, post-stratified regression model and nonparametric regression model through different regressive relationship between auxiliary variable and study variable.

首先是依据辅助变量与研究变量之间回归关系的不同，分别建立比率模型、线性回归模型、事后分层回归模型和非参数回归模型，然后再利用第二章中推导出的广义回归估计理论，对各种回归模型辅助下(来源：A4bBC12论文网www.abclunwen.com)的估计方法进行了系统性研究，从而构成了模型辅助估计方法的整个研究体系。

Multiple linear regression is the simplest way to build the relationship between the several explanatory variables and response variable. However, MLR often causes the estimated regression coefficients unstable or even unaccessible when the number of explanatory variables is more than that of objects. Especially, the explanatory variables are highly intercorrelated which called multi-collinear data. Therefore, many methods have been developed to analyze multi-collinear data, such as variable selection methods, ridge regression, principal components regression and partial least squares regression.

当要同时建立多个解释变数与反应变数间的关系时，最简单的方式是以复回归来处理，但是当解释变数数目远多於样本数，或者变数之间具有高度相关性时，会使得回归系数的估计变得不稳定甚至无法求得，这样的资料又称为共线性资料，在面临这样的资料时可以利用变数选取的方式降低资料组的维度，或者以脊回归、主成分回归及净最小平方回归等方法来灭种共线性的干扰。

The questionnaire method and the interview menthod were used to gain the tourist data, the quota sampling method was used in sampling survey, the principal component analysis method was used to measure the various variables, the statistical methods such as linear regression analysis, multivariate linear regression analysis, single factor variance analysis and logistic regression analysis were used to analyzes the relationship between various variables.

具体来说，在获取游客数据时采用了问卷调查法和访谈法，在抽样调查时采用了配额抽样方法；对各变量进行测度时使用了主成分分析法；在分析各变量之间相互关系时采用一元线性回归分析、多元线性回归分析、单因素方差分析及Logistic回归分析等统计方法。

The results from statistic data analysis using the statistic software SPSS15.0 for descriptive statistics, chi-square evaluation, laddered logistic regression, factors analysis, credibility analysis, variables analysis, and multiple comparison are as follows: I. An analysis of the prominently related variables with whether or not to receive cervical smear screen of tendency factors, enabling factors and needs factors by using the logistic regression model was performed.: 6 variables of tendency factors with predictive value as to whether a woman receive cervical smear screen or not include age, marital status, educational level, family structure, religion, and the knowledge of free smear examination offered by mandatory citizen health insurance; 4 variables with enabling factors with predictive value include average monthly income, district, whether receiving telephone or letter notices in the past year, and the degree of convenience of the examination location. One variable of needs factors with predictive value: is the suitability of the examination time notified. The accuracy rate of laddered logistic regression model built by this research was 74.1%.

利用统计软体SPSS15.0进行描述性统计、卡方检定、阶层式逻辑斯回归、因素分析、信度分析、变异数分析、多重比较等统计方法分析，根据统计资料分析结果：经卡方检定后，将倾向、能用、需要因素中具有显著相关变项与是否接受抹片检查，放入逻辑斯回归预测模型中，本研究结果发现：倾向因素中的六个变项：年龄、婚姻状况、教育程度、家庭结构、宗教信仰、是否知道健保提供免费抹片检查对受检与否具有预测力；能用因素中的四个变项：平均月收入、地区别、过去一年内是否接到电话或信函通知、收到通知的受检地点是否方便对受检与否具有预测力；需要因素中的一个变项：收到通知的受检时间是否合适对受检与否具有预测力；本研究所建立的阶层逻辑斯回归模型的整体预测正确率为74.1﹪。

This study conducted a secondary data analysis based on the data from 1999 Survey of Health and Living Status of the Middle Aged and the Elderly in Taiwan, provided by the Bureau of Health Promotion, Department of Health, R.O.C.. The study subjects were elders over 65 years old, and the number of valid samples was 2890. The data were analyzed with descriptive statistics, one-way ANOVA, Chi-square test(X2), Independent-Samples t-test, point biserial correlation, the Pearson product-moment correlation, logistic regression analysis, multiple regression analysis and hierarchical regression analysis.

本研究乃是使用行政院卫生署国民健康局人口与健康调查研究中心执行之「台湾地区中老年身心社会生活状况长期追踪调查系列」1999年调查资料进行次级资料分析，研究样本为年满六十五岁以上之高龄者，有效样本数为2890人，针对所得的资料，以描述统计、单因子变异数分析、卡方检定、独立样本t检定、点二系列相关、皮尔森积差相关、逻辑回归、多元回归分析及阶层回归分析等统计方法进行分析。

This course provides:Simple linear regression and correlation,Measures of model adequacy,Multiple regression,Polynomial regression models,Variable selection and model building,Multicollinearity and Topics in the use of regression analysis.

其内容包括：简单直线回归与相关，模式正确性的衡量，复回归分析，多项式回归模式，变量的选择及模式建立，共线，回归分析应用上的注意事项等。

The correlation analysis and stepwise regression between physiological characteristics of three species and environmental factors showed that the regression equation of Platycladus orientalis between photosynthetic rate, transpiration rate and the environment factor was P(subscript n=0.006PAR+1.176RH, E=1.120T; the regression equation of Pinus tabulae formis was P(subscript n=0.010PAR, E=1.004T+0.482RH; the regression equation of Tamarix chinensis was P(subscript n=0.015PAR, E=0.757T+0.566RH-8.397G.

对3种树的光合速率和蒸腾速率与影响因子进行相关分析及逐步回归分析表明，各树种光合速率和蒸腾速率的回归方程分别为，侧柏：P=0.006PAR+1.176RH，E=1.120T；油松：P=0.010PAR，E=1.004T+0.482RH；柽柳：P=0.015PAR，E=0.757T+0.566RH-8.397G。

Green function defined inphase space differs from one in coordinate space by its struc-ture which exhibits nonlocatity in coordinates and oscillatorybehavior with respect to momenta.

在相空间中定义的Green函数不同于通常坐标空间的Green函数，在结构上显示出对坐标的高度非局域性，而对动量则显示出振荡行为。

The upper front part of a saddle;a saddlebow.

前鞍桥马鞍前面的上部分；前鞍桥