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multiple regression analysis相关的网络例句

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Through the multiple stepwise regression analysis, the duration of the disease and serum GH level were the main influencing factors of acromegalic cardiomyopathy. 2 Ejection fraction and fractional shortening, were decreased, compared to control group, they still remained in normal range. 3 Isovolumic relaxation time and E wave descending time, were delayed apparently compared to control group, indicating the damage of cardiac relaxation. 4 Subgroup analysis in acromegalic: The comparison between patients with diabetes mellitus and impaired glucose tolerance and patients without DM/IGT showed that there was no significant difference in terms of the parameters in the two groups, in spite of an mild increase of IVST in the former group.

经多元逐步回归分析,病程和血清生长激素浓度为心肌肥厚的主要影响因素。2实验组射血分数和左心室短轴缩短率虽较对照组低,但仍在正常范围。3实验组左心室等容舒张时间和二尖瓣减速时间较对照组明显延长。4实验组中继发糖尿病/糖耐量减低组与非DM/IGT组进行比较,前者仅室间隔有较明显增厚,其余各项参数2组间差异均无统计学意义。

Factor analysis, Cronbach alpha, t-test, ANOVA, Pearson relation coefficient, canonical correlation analysis and multiple regression were conducted to validate the questionnaires and verify the hypotheses.

此外,本研究以因素分析、信度分析、t考验、单因子变异数分析、皮尔逊积差相关分析、典型相关分析以及多元回归分析进行量表与研究假设的验证。

Function and limit, one-variable calculus and its application, ABC of progression and multiple-variable calculus, determinant, matrix and its calculation, system of linear equations and quadratic form, probability of occurrence, chance variable, law of large numbers and central limit theorem, sample and parametric estimation, variance analysis, regression analysis.

Advanced Mathematics 1 [Course Code 1040008 MAT114] 本课程主要介绍函数和极限,一元微积分和它的应用,ABC 级数和多元微积分,行列式和矩阵的应用,线性方程和二次方程式,事件的概率,偶然性变量,大数定律和中心极限定理,样本和参数估计,方差分析,回归分析。

Taken Qinshui Basin as an example a predictive model of gas content is established by multiple stepwise regression analysis, using Langmuir volume and gas saturation as its parameters. The result of multiple correlation coefficient testing, F-testing and t-testing indicates that the model meets the hypothesis testing of linearity and its matching effect is preferable.

以沁水盆地为例,运用多元逐步回归分析方法,建立了以Langmuir体积和含气饱和度为参数的含气量预测模型;复相关系数、F检验、t检验结果表明,该模型满足线性与方差齐性的假设,拟合效果较好。

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。

The main content of this course includes collecting and sorting statistical data, static data comparison and analysis; descriptive and inference statistics, time series analysis , statistical index, probability and distribution, sampling, parameter estimation, hypothesis testing;simple , multiple regression and correlation analysis .

重要内容有:统计数据的收集和整理、数据的静态比较分析、统计描述与统计推断、时间数列分析、统计指数、概率与概率分布、抽样分布、;参数估计、假设检验、简单回归和相关的统计推断、多元回归和多重相关分析。

This course includes descriptive statistics, probability distribution, sampling distribution, statistical estimation, hypothesis testing, analysis of variance, chi-square tests, simple linear regression, multiple regression, and nonparametric statistics.

本课程内容包括叙述统计、机率分配、抽样分配、统计估计、统计假设检定、变异数分析、卡方检定、简单线性廻归、复廻归、无母数统计。

Analysis of association between incidence of bacillary dysentery and meteorological factors including average temperature, the lowest temperature, the highest temperature, cloudiness, humidity, atmospheric pressure, wind speed, sunshine time, rainfall and so on, was done by unifactorial correlation and multiple stepwise regression analysis.

将什邡市2005-2007年菌痢月平均发病数据进行描述性分析,对可能影响菌痢发病的平均温度、最低温度、最高温度、云量、湿度、气压、风速、日照时数、降雨量等9项研究变量进行单因素相关分析和多元逐步回归分析。

The similar results were also found in their parents, siblings and younger generation. Results Results from binominal distribution analysis showed that the number of cases in the families of NIDDM was significantly bigger than the theoretical range, indicating that there was significant familial aggregationin in the occurance of NIDDM. Simple and multiple logistic regression analysis also showed that genetic factor was one of the most important factors in the development of NIDDM.

结果 病例组一级亲属总的患病率为3.47%,与对照组的1.03%相比,差异有非常显著性(χ2 =17.66,P<0.01;无论其父母、同胞或子女,均以病例亲属的患病率显著高于对照;Ⅱ型糖尿病家族中实际发病数超过其二项分布的理论概率范围,即Ⅱ型糖尿病的分布呈明显的家族聚集性;单因素和多因素logistic回归模型拟合也提示,家族史仍是Ⅱ型糖尿病的最主要危险因素。

A set of multiple regression equations are established on the basis of correlation analysis, factor analysis and canonical correlation analysis on the foraminiferal and environmental database of 36 samples.

通过相关分析、因子分析、典型相关分析和回归分析,建立了长江河口古环境参数推算方程,可根据沉积物中有孔虫分析的有关数据进行古潮差、古涨潮流流速和距口门距离的推算。

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