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多元逐步回归 multiple stepwise regression英语短句 例句大全

时间:2022-05-14 22:49:07

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多元逐步回归 multiple stepwise regression英语短句 例句大全

多元逐步回归,multiple stepwise regression

1)multiple stepwise regression多元逐步回归

1.The relationship between gerontal depression state and family function APGAR among all of them were analyzed by adoptingmultiple stepwise regression analysis.[方法]随机抽取扬州市老年人313例,采用家庭APGAR问卷和老年抑郁量表(GDS)进行调查,采用多元逐步回归方法研究分析其抑郁状态与家庭功能的关系。

2.0,relationship between Dragon s blood α-glucosidase inhibitor s ability and concentration of metals including iron,manganese,copper,calcium and magnesium were analyzed bymultiple stepwise regression.0,对血竭α-葡萄糖苷酶抑制剂中铁、锰、铜、钙、镁5种金属元素含量与其活性进行多元逐步回归分析,建立了多元线性回归模型:[ID50]=-0。

英文短句/例句

1.Multiple Stepwise Regression Analysis of Relationship Between Disease Occurred and Meteorological Factors疾病发生与气象因素关系的多元逐步回归分析

2.The model used multiple stepwise regression method and back propagation method independently.模型分别采用多元逐步回归方法和反向传播方法。

3.STEPWISE REGRESSION ANALYSIS AMONG ENAMEL FLUORIDE RATE,FLUORIDE IN DRINKING WATER AND THE OTHER FACTORS IN JIANGSU PROVINCE江苏省氟斑釉率与饮水氟等因素的多元逐步回归分析

4.ANALYSIS OF THE DRIVING INFLUENCE MECHANISM OF LINLI COUNTY BASED ON THE MULTIPLE REGRESSION ANALYSIS LAW AND THE LATUS RECTUM ANALYSIS;基于多元逐步回归与通径分析的临澧县建设用地驱动力研究

5.Polynary stepwise regression analysis of preoperative anxiety related factors of breast cancer patients乳腺肿瘤病人术前焦虑相关因素的多元逐步回归分析

6.Multivariant gradual regressive analysis of influencing factors on neurologic deficit after acute cerebral infarction急性脑梗死后神经功能缺损影响因素的多元逐步回归分析

7.Identification of the Cooperation Patterns among Transcription Factors in Gene Expression Regulation by the Multiple Stepwise Regression Analysis用多元逐步回归方法解析转录因子在基因表达调控中的作用

8.Diverse return to return analytical result enunciation gradually,to raise the happiness a related factor of old people is to cohabit wi th spouse,higher economic income,bigger housing area.多元逐步回归分析结果,提高老年人幸福度相关的因素是与配偶同居、经济收入高、住房面积大。

9.On the Simulation of Ambient Air Capacity Planning with the Method of Stepwise Regression and Multivariate Statistics;逐步回归多元统计模拟环境空气容量规划研究

10.Explain the Cause of pH Value Decreasing These Years in Precipitation of Shanghai City with Stepwise Linear Multi-variation Regression Mode逐步多元线性回归模型解释近年上海市降水pH降低原因

11.A Stepwise Regression--Autoregression Mathematical Model of Multiple Dependent Variables for Predication the Preperties of Water in X lakeX湖水质预测的多因变量逐步回归——自回归模型

12.The application of multi-variate linear regression combined with stepwise regression analysis for Cu-Ni sulfide deposit of Baishiquan多元线性回归和逐步回归分析在白石泉Cu-Ni硫化物矿床研究中的应用

13.The application of the stepwise regression program of EViews6 in the teaching of multi-collinearityEViews6软件的逐步回归分析模块在多重共线性教学中的应用

14.Application of multi-factor stepwise regression cycle analysis in medium and long-term hydrological forecast多因子逐步回归周期分析在中长期水文预报中的应用

15.in-and-out stepwise method分批进入和退出的逐步回归法

16.ANALYSIS OF STEPWISE REGRESSION BASED ON THE CORRELATION FACTOR OF THE CEREBRAL INFARCTION基于脑梗塞相关因素的逐步回归分析

17.Stepwise Regression Analysis on the Technology and the Net Win Marks in the Volleyball Match排球比赛各项技术与净胜分的逐步回归分析

18.Application of stepwise regression analysis in pathogenesis of diabetes逐步回归分析在糖尿病发病情况中的应用

相关短句/例句

Stepwise multiple regression多元逐步回归

1.This paper makes an analysis on relation between blue alga biomass and environment physical and chemical index based on monitored data and through correlation analysis and stepwise multiple regression statistics.以千岛湖监测数据为依据,运用相关性分析和多元逐步回归统计方法,对蓝藻生物量与环境理化指标的关系进行研究分析,找出与蓝藻生物量显著相关的环境因子,建立多元逐步回归方程,预测千岛湖藻类生物量的变化情况。

2.The stepwise multiple regression statistical method was used to calculate the relation between algal chlorophyll a (Chla), total algal biomass (TB), Microcystis biomass (MB) and these environmental .以太湖梅梁湾 1992 - 1999年的连续监测资料为基础 ,运用多元逐步回归统计方法 ,选择水温等 15项环境理化因素与藻类叶绿素a、藻类总生物量和微囊藻生物量等 3项生物因素进行逐步回归分析 ,找出与生物因素显著相关的环境因子 ,建立多元逐步回归方程 ,预测梅梁湾藻类生物量的变化情况 ,初步进行了梅梁湾蓝藻水华的预测预报 。

3)stepwise regression多元逐步回归

1.The structure of grasshopper community in different environment in Luo River region was compared using species-abundance model, diversity index, similarity analysis, principal component analysis andstepwise regression.应用种-多度分布模型、多样性指数、相似性分析、主成分(PCA)分析及多元逐步回归等方法比较了洛河流域不同生境的蝗虫群落结构。

2.Using LI-6400 CO_2 gas analysis system and SPSS by the methods of correlation analysis andstepwise regression,this paper studied the diurnal photosynthesis changes of Cornus alba during spring,summer and autumn,and assessed the correlation between Pn and eco-physiology factors.应用LI-6400便携式光合测定系统对红瑞木光合作用的日变化规律进行研究,利用SPSS统计分析软件,采用相关分析及多元逐步回归分析得出红瑞木春季、夏季、秋季净光合速率与生理生态因子间的关系。

3.This paper compared the structure of grasshopper community in Loess Plateau of Luo River district by using similarity analysis,principal component analysis andstepwise regression.应用相似性分析、主成分(PCA)分析及多元逐步回归等方法比较了洛河流域黄土高原不同地区蝗虫的群落结构。

4)stepwise[英]["stepwaiz][美]["st?p,wa?z]多元逐步回归

1.The statistical method ofstepwise was used to select the possible factors affecting uterine leiomyoma inpatients expenses.方法:随机抽取2002—间在胜利油田石油管理局中心医院和胜利医院住院的子宫肌瘤手术病人206例,采用多元逐步回归分析方法对住院费用的可能影响因素进行筛选。

5)multi-elemental regression多元逐步回归

1.After analyzing the shortcoming of conventional moving neighborhood Kriging, a modified approach of data interpolation is presented to determine the trend of drifting bymulti-elemental regression, search known points within neighborhood using data structure of triangular mesh, and evaluate the coefficients of variogram by restricted maximum likelihood.在分析了原滑动邻域克里金插值法存在的不足之后 ,提出了在插值过程中利用多元逐步回归方法确定待插点邻域内区域化变量的漂移次数 ,利用三角网格剖分后的节点数据结构 ,快速搜索局部邻域内的已知点 ,变异函数参数的求取采用受限最大似然法的改进方法 。

2.This paper presents a method,which determines the order of bend by the stepwisemulti-elemental regression.该文提出了利用多元逐步回归法确定漂移的次数;采用矩法和最大似然法相结合估计残余变异函数参数;当区域内数据点个数比较多时,在三角网格剖分过程中一次确定三角形与其内数据点的包含关系,用于快速检索待插点邻域内的数据点,最后给出了应用实例。

6)Stepwise multiple regressions逐步多元回归

1.Stepwise multiple regressions application in liposome orthogonal experiments;采用逐步多元回归法对脂质体制备的正交试验进行处方筛选(英文)

延伸阅读

逐步回归分子式:CAS号:性质:在建立多元回归方程的过程中,按偏相关系数的大小次序将自变量逐个引入方程,对引入方程中的每个自变量偏相关系数进行统计检验,效应显著的自变量留在回归方程内,循此继续遴选下一个自变量。如果效应不显著,停止引入新自变量。由于新自变量的引入,原已引入方程中的自变量由于变量之间的相互作用其效应有可能变得不显著者,经统计检验确证后要随时从方程中剔除,只保留效应显著的自变量。直至不再引入和剔除自变量为止,从而得到最优的回归方程。

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