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统计分组
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  statistical grouping
     Discuss statistical grouping method of large probability determinate
     论大概率决定的统计分组
短句来源
     The author believes that statistical grouping method is still useful and effective in dividing economic regions, but the modern cluster analysis method is more complete, visual and objective.
     通过将传统的统计分组法和现代的聚类分析法进行对比、分析,作者认为:在经济区域的划分中,统计分组法仍是一种十分有效的划分方法,但是现代聚类分析方法更具有综合性、形象性和客观性特点。
短句来源
     First the basis of statistical grouping method,employing Bayes statistical theory to establish forecast model to forecast of instrument investment,then calculation is performed regarding to practical problem.
     首先根据统计分组的方法 ,应用 Bayes统计理论建立预测模型对证券投资进行预测 ,然后结合实际问题进行了计算。
短句来源
     Statistical Grouping Reference
     统计分组标志问题
短句来源
     The second chapter, the Division of Economic Regions, will focus on the definition and characteristics of regions and economic regions, and the methods used to divide economic regions, applying both traditional statistical grouping method and modern cluster analysis method.
     第二章:经济区域的划分。 主要阐述区域和经济区域的概念、特征,经济区域的划分方法,运用传统的统计分组法和现代的聚类分析法,从不同角度对经济区域进行划分。
短句来源
  statistical group
     ELES is highly applicable in that it can obtain relevant results by means of analyzing statistical group data based on sampling surveys.
     ELES借助一般抽样调查的统计分组数据即可得到具体分析结果,具有较强的实用性。
短句来源
  statistical classification
     Statistical Classification of Fuzzy Social Economic Phnomenon
     模糊社会经济现象的统计分组
短句来源
     This paper applies principles of fuzzy mathematics to discuss two circumstances of statistical classfication, The edfect of the traditional method of statistical classification can beeliminated by the opplication of the new method.
     本文提出统计分组的两种情况,并运用模糊数学中最大隶属度原则.阀值原则及模糊聚类方法对两种情况进行了探讨。
短句来源
     The theory of statistical classification is one of the most important parts of statistics.
     统计分组理论是统计学的重要组成部分。
短句来源
  “统计分组”译为未确定词的双语例句
     Grouping is a basic method in statistics.
     统计分组是统计学中一种最基本的统计方法。
短句来源
     This paper bring forward the special grouping method,which based on the distribution law of the social economic phenomena.
     本文根据大量社会经济现象的分布规律 ,以 68.2 6%较显著的一般水平作为统计分组的依据 ,提出了作者较为独特、科学的分组方法。
短句来源
     therefore it has affected the report function in great degree. Question mentioned can be solved well using delphi middleware Rave+DxDBGrid+DxComponentPrinter.
     利用Delphi的中间件Rave+DxDBGrid+DxComponentPrinter就能很好地解决上面所提到的问题,为用户提供人性化的界面和强大的统计分组功能。
短句来源
     The Fuzzy Computing Method of Statistic Classification
     模糊统计分组
短句来源
     Statistics are grouped,on the basis of which expected Bayesian estimates of state probability are used to establish the forecast model for security investment. Finally,calculations are performed regarding to practical problems,which show that the expected Bayesian method is feasible and easy to operate.
     首先进行统计分组,在此基础上应用状态概率的E-Bayes估计建立证券投资的预测模型,最后结合实际问题进行了计算,结果表明本文所提出的方法便于应用。
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  statistical grouping
Determining capacities of ore blending dumps by statistical grouping methods and the theory of random functions
      
However this statistical grouping once again implicitly de-emphasizes the outliers, which tend to represent the most significant anomalies or edges.
      
The statistical grouping of the indicators differs from the theoretical grouping of indicators into pillars.
      
We assume a common composition for the shower elements, which explains their close statistical grouping not seen in sporadic events.
      
We will present part of the results of a statistical grouping of the whole databank, according to the statistical procedures utilized in Bonn.
      
  statistical group
The test is easy to perform, yields highly reproducible results, allows for simple statistical group comparisons and correlates well with the usual methods of assessing withdrawal.
      
Statistical group analysis was performed using the random effect procedure (SPM 99).
      
The frequency of Be stars in spectroscopic binaries shows a notable peak in its orbital-period distribution in the range of 100-300 days, suggesting a statistical group separated from Algol systems.
      
On some problems of a statistical group theory VII
      
Acumen Sciences believes that the independent statistical group can bring business rigor to DMC operations.
      
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  statistical classification
The results are applied to statistical classification of Gaussian vectors having commutative covariance structure.
      
A permutation technique is used to determine the statistical classification threshold of a tree, from which a gene regulatory rule(s) is extracted.
      
In particular, we found statistical classification techniques much more susceptible to minor parameter variations than unsupervised artificial neural networks.
      
Statistical classification of color pixels was employed to improve image processing under the variety of imaging conditions encountered in a grove.
      
A statistical classification (cluster analyses) produced 11 groupings (after exclusion of general pulsed call types), which contained fairly logical grouping of the subjectively determined call types.
      
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The article expound to method of statistical grouping, pursuit of Principle to determine class number in groupping in population by quantitative indieant: (1) quality principle (2) ehareateristic principle (3) mass principle (4) convenience principle. Explain to group interval combining the concept of set and interval, to produce new formula of computation group interval.

阐述了统计分组法的意义,探讨了对总体按数量标志分组时确定组数应遵循的四项原则,即质别原则;特征原则;大量原则;便利原则。并结合集合与区间的概念对组距进行了新的解释,给出了计算组距的新公式。

This paper applies principles of fuzzy mathematics to discuss two circumstances of statistical classfication, The edfect of the traditional method of statistical classification can beeliminated by the opplication of the new method. Consequentially, the accuracy of sta-tistical classification is improved, In the end, F-statistic is disscussed.

本文提出统计分组的两种情况,并运用模糊数学中最大隶属度原则.阀值原则及模糊聚类方法对两种情况进行了探讨。运用新方法克服了传统分组方法中的不足,提高了统计分组的准确性.最后对当前所采用的F—统计量提出了异议,并提出改进方法.

Due to so many uncertainties of the statistic object,i.e, fuzzy factors, the statistic classification method gets to lose its reliability gradually along with the increase of complexity of the statistic object. In this paper, The Mathematical Model of fuzzy statistic classification method (FSCM) is built, and the authors apply the model and attain the FSCM of five large or medium enterprises, and the result is more reliable.

由于统计对象带有许多不确定性,即模糊性因素,使统计分组法随着统计对象的日趋复杂而逐渐失去其可靠性。作者在该文中建立了模糊统计分组的数学模型,并应用该模型,给出了五个大中型企业生产规模的模糊统计分组算法,此方法的结果大大提高了统计分组的可靠性。

 
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