multivariate sample
英
美
网络 多元样本; 多变量样本
双语例句
- The most stringent somewhere most powerful one sided test of the asymptotic multivariate normal population mean& The application of the ranked set sample;
最佳渐近正规估计量渐进多元正态总体均值最紧致某处最优势检验秩集样本的应用渐变为最大（G） - Hydrochemical classification and identification of groundwater in mining region using multivariate statistical analysis The usability of system is proved by the sample data.
矿区地下水系统水质分类判别的多元统计分析通过对样本数据的判断识别，证明系统的可用性。 - By use of multivariate analysis a common correlation chain ( Mn-Ni-Cu-Sr-Ti) in both hair and blood was found, regardless of sex, age, sample. It seems that the chain suggests some particular information of organism.
结果经多元分析处理，找到血、发共有的相关链：Mn－Ni－Cu－Sr－Ti，它与患者年龄、性别、样品无关，看来它提供了机体的某些特殊信息； - It is possible to use pool multivariate sample for improving the precision of the estimators when marginal parameters are equal.
当边缘参数相等时，用合并样本估计公共参数，可以提高估计量的精度。 - The principal component analysis in multivariate statistic analysis is a method of compressing the dimension of vector data by extracting principal typical components from sample data set.
多元统计分析的主成份分析方法是对多维矢量数据提取主要特征分量，以此达到压缩矢量维数的目的。 - This paper discusses the influence analysis in multivariate linear regression, introduces three measures of data influence based on different sense, and reveals the relationship between the data influence and the sample size: n.
本文讨论了多重线性回归中的影响分析问题，从不同角度提出了数据影响的三种度量，揭示出了数据影响与样本容量n之间的关系。 - Clustering analysis is a kind of multivariate statistical method of sample classification and data analysis method without training sample set.
聚类分析是研究在没有训练样本集的情况下对样品进行分类的多元统计和数据分析方法。 - In use for geophysical and geochemical explorations, the system can process not only the multivariate field data which are distributed in a plane or along a line but also the irregular discrete sample data.
该系统用于物探、化探，不但能处理平面分布的多参数场资料，而且还能处理沿线分布的多参数场资料，同时还可处理不规则分布的离散样本数据。 - The Positive Definitiveness of Covariance Matrix of Multivariate Discrete Sample
多元离散型样本协方差阵的正定性 - Constellation diagram and contiguous vector diagram are audiovisual methods in multivariate statistics, they may be used for the cluster analysis of multivariate sample or index.
星座图与连接向量图是多变量统计的直观方法，可用于多变量样本或多变量指标的聚类分析。 - With the development of society, the multivariate test of small sample has drawn more and more attention. However, until now, the research on such test is not much, and the whole system scheme into practice of analyzing it is much more less.
随着社会的不断发展，小样本多元试验也越来越受到人们的关注，但目前关于此类试验的研究并不多，将整体方案付诸于实践则更加少。 - Against regression analysis for multivariate tests of the small sample, this paper puts forward a new algorithm that is self-selection partial least squares regression algorithm based on the quadratic polynomial model, and provides some necessary testing methods for it.
针对小样本多元试验的回归分析，则提出了基于二次多项式模型的自选择偏最小二乘回归算法，并给出了必要的检验方法。 - Based on the source of subject, this paper proposes an effective system overall solution which can design, analysis and optimize such test, and develops the multivariate experimental design and optimization analysis system for the multivariate test of small sample.
基于课题来源，本文提出了一套能有效地设计和分析此类试验的系统方案，并开发了小样本多元试验设计与优化分析系统。 - Cluster analysis of multivariate statistical analysis, especially ordered sample cluster, will be introduced in this study so that hopefully subjects can be graded more scientifically and rationally. Lastly, realize the computational problem with software.
本研究尝试引入多元统计分析方法中的聚类分析，特别是有序样品聚类的思想，以期更科学、更合理地实现评价对象的分档。 - Before the establishment of prediction algorithm, this paper uses clustering algorithm to analyze multivariate sample sets, and provides foundation for prediction model.
在建立预测算法模型之前，利用聚类算法对多变量样本集进行相似度分析，为建立多个实际预测模型提供依据。 - Moreover, the multivariate series is always high dimension and large sample size. On-line predictive methods are more practical and effective in practical applications than offline methods.
又因为多变量序列往往表现为高维数，大样本量的数据形式，实际应用中，在线预报方法更为实用有效。 - In short, this paper proposes a system solution which can effectively design analysis and optimize the multivariate test of small sample, and proves that improved algorithms have better performance than that of the traditional method through experimental analysis and example verification.
总之，本文提出了一套针对小样本多元试验的试验设计与优化分析的方案，并对改进的算法进行实验分析和实例验证。