查询词典 regression analysis

BMI, urine volume of residual renal, erythropoietin dosage, time of maintenance hemodialysis, change of body weight during hemodialysis intermission, hemodialysis mode, KT/V values, dry body, hemachrome concentration were recorded. Singer-variable analysis and multi-variable Logistic regression analysis were performed to examine the risk factors associated with poorly-controlled hypertension.

选择135例维持性血液透析患者为研究对象，根据血压控制情况分为血压控制正常组和血压控制不良组，观察并记录两组患者的年龄、性别、身体质量指数、残肾尿量、促红细胞生成素剂量、透龄、透析间期体重变化、透析方式、KT/V值、是否达透析干体重、血中血红蛋白浓度等指标，进行单因素分析和非条件多因素Logistic回归分析。

The main content of preparation before scoring is selection of characteristics, which mainly uses Logistic regression, contingency table analysis and artificial neural network. Personal credit scoring and evaluation mainly uses general discriminant analysis, refined decision tree model, improved genetic algorithm, probability neural network and behavioral scoring model. The effect test of personal credit scoring includes fitting effect test and fitness test. The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选，其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络；本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型；个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面，前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线，后者主要包括似然比检验、Hosmer-Lemeshow检验等。

Based on the analysis of Moran scatter plot and spatial lag regression models,it put forward that the spatial statistical analysis could draw some reference value for analyzing spatial structure and pattern and policy-making.

本文借助于Geoda 095 i软件首先通过对2006年第一季度河南省各市GDP增长速度的空间相关性分析，得出河南省各市经济发展之间的空间相互作用以及各个区域内的空间结构特征

Subsequently, for guaranteeing the independence of analyzed factors, the principal components analysis method was conducted to avoid the collinearity problem in the assessment of landslide susceptibility. The new scenario was carried out in the logisticl regression analysis method and produced a new landside susceptibiltiy map.

地质科学家的判别经验分析确定的评价要素存在相互重叠的共线性问题是不可避免的，为了保证评价要素的独立性，判别式的主成分多变量分析法被执行确定了新的评价要素；随后LR模型被再次执行绘制了新的滑坡危险等级地图。

Generalized linear models, which can model a large variety of data, have a wide area of application. The class of GLMs includes, as special cases, linear regression, analysis-of-variance models, log-linear models for the analysis of contingency tables, logistic models for binary data in the form of proportions and many others. Usually, the parameters in the generalized linear models are estimated by the method of maximum likelihood . But, in the literature, the nonrobustness of the maximum likelihood estimator forβhas been studied extensively. The quasi-likelihood estimator of the parameter of the generalized linear model shares the same non-robustness properties.

广义线性模型，可用于对多种类型的数据进行建模，是应用非常广泛的模型，线性回归模型、方差分析模型、用于列联表分析的对数线性模型和逻辑斯谛模型等都是广义线性模型的特例，通常，我们用极大似然的方法估计广义线性模型中的参数，但是，在文献中，对参数β的极大似然估计的非稳健性已经有了广泛的研究，广义线性模型的拟似然估计也显示了非稳健性。

Sample data were selected by standard deviation law and factor variables were selected by the method of principal components analysis, stepwise and enter regression analysis. The forecast precision of the model is 87.35%.

样本数据筛选采用标准差法，因子变量筛选采用主成分因子分析法、多元线性回归的逐步回归和强行进入法等方法，建立的多元回归模型预测总体精度达到87.35%。

Based on the monthly precipitation data of thirteen meteorological stations in Tianjin in recent 50 years,using regression analysis,trend analysis and five-year moving average method,the change characteristics of precipitation were analyzed.

根据天津市13个气象站近50年的实测月降水资料，运用回归分析、趋势分析和5年滑动平均等方法，分析了天津市近50年来降水变化特征。

The data was analyzed by SPSS using χ[2] analysis, correlate analysis and Multinomial Logistic Regression.

采用χ[2]检验、Spearman相关分析和多元 Logistic回归分析来分析数据。

Analysis: Scores were compared using analysis of variance and multiple regression.

分析：使用方差分析和多重回归对结果进行对比。

This paper is to mainly discuss the following problems which are diffieult to be solved in commodity freight volume forecast for a period of time: Variable choice and multiple coorelations; Application of the principles of combining quantitative analysis with qualitative analysis; Selection of the remarkable variables by using Multistep Regression Method; Establishment of reasonable freight volume forecast model.

本文针对总货运量预测中较难解决的问题——变量选择和多重共线性，运用定性和定量相结合原则利用逐步回归方法定量挑选显著性变量，建立理想的货运量预测模型。此外，本文在评介货流研究一般方法基础上，根据多地区货物交流目的，探讨了货流预测的方法，提出用Frator法预测货流。

The teacher likes the honeymouthed little girl very much.

老师很喜欢这个嘴甜的小姑娘。

Mr. Notker Bien's interests are traveling, spending quality time with the family and long-distance-running.

诺特卡·柏恩先生热爱旅游，长跑，以及和家人一起共度美好时光。