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1)  Multivariate satatistical analysis
多变元统计
2)  multivariate statistics
多元统计
1.
Source identification of PAHs in surface sediments from Bohai Sea by multivariate statistics;
多元统计在渤海表层沉积物中PAHs源解析上的应用
2.
Application of multivariate statistics in study on combinative characteristics of indicator elements:an example from Huangbuling gold deposit in Shandong,China;
多元统计分析在矿床指示元素组合特征研究中的应用——以山东黄埠岭金矿为例
3.
The PCA(principal component analysis) of multivariate statistics is applied to the performance evaluation system with a telecom enterprise taken as multi-objective example to analyze.
将多元统计中的主成分分析法运用于电信企业绩效评价体系中,并针对实例进行了分析和评价。
3)  multivariate statistical analysis
多元统计
1.
15 indexes were chosen,using multivariate statistical analysis techniques(Principle Component Analysis and Canonical Correspondence Analysis),the complex relationships between the soil properties,plant biodiversity and landform factors were examined.
利用多元统计方法,对选取的指标进行了主成分分析和典范相关分析。
4)  multivariate statistical
多元统计
1.
Welding quality analysis of GMAW process based on multivariate statistical analysis of electric signal;
基于电信号多元统计的GMAW焊接质量分析方法
2.
The multivariate statistical method is introduced in the paper to analyze conventional statistical operators of partial discharge (PD).
采用多元统计分析方法对传统的局部放电统计特征算子进行了因子分析,从24个统计算子中提取出8个公共因子作为局部放电新特征因子,从而实现数据压缩的目的。
3.
The paper preliminary explored the growth modeling method of the plant tissue culture seedling based on multivariate statistical information fusion technology for the physiological growth research, then created a model in MINITAB for a better prediction of the plant growth analysis and verified its feasibility and accuracy of the growth modeling for the foundation of the next phase in-depth study.
首先基于CO_2传感器,温度传感器及相对湿度传感器,采用卡尔曼滤波特征级方法对组培苗生长信息进行多传感器信息融合及计算机仿真,其次,借助Minitab15软件融合信息进行多元统计分析,应用Logistic回归方程对组培苗进行生长建模。
5)  multivariable statistics
多元统计
1.
In this paper, an algorithm of specification ordering based on the multivariable statistics and fuzzy rules was presented.
针对参数性故障分布具有很强随机性的特点 ,将特征观测值看作随机变量的取样 ,引入多元统计理论的分析方法 ,对多种状态下的特征样值进行分析筛选 ,进而对初始的检测特征集合进行冗余度排序 ,可以大大压缩特征参数数量 ,减少故障诊断的时间 。
2.
Related main points of MAHP is introduced, then a probabilitical model based on MAHP for GDM is built, third related theories of multivariable statistics and goal programing are presented, forth the above aspects are synthesized to transform a problem of GDM into a quadratic programing and finally an example is presented for demonstration.
首先给出了有关MAHP的要点、统计性群体决策的模型、和有关多元统计和随机目标规划的理论;然后综合应用上述理论将统计性群体决策问题转化为一个有约束二次规划问题;最后给出一示例以说明有关理论和方法。
6)  Multivariate statistic
多元统计
1.
Survey of multivariate statistical methods for fault diagnosis;
多元统计方法在故障诊断中的应用综述
2.
By means of multivariate statistical methods, the sampling data from farm produce wholesale market in Shenzhen City were used to analyze in this paper.
基于深圳市农产品批发市场主要蔬菜品种质量的监测抽样数据,应用多元统计方法,根据城市蔬菜品种污染动态响应系数和累积影响系数,进一步构建蔬菜品种安全指数,从而建立城市蔬菜品种安全监控系
补充资料:分布和特征量统计(见统计分析)


分布和特征量统计(见统计分析)


  fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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