秩相关系数

  • 网络Spearman;Spearman's rank correlation coefficient;rank correlation;CORRELATE
秩相关系数秩相关系数
  1. 与Pearson相关系数检验相比,Spearman秩相关系数检验具有较高的灵敏度。

    Moreover , compared with Pearson 's correlation coefficient , Spearman 's rank correlation coefficient test was more sensitive .

  2. 采用2×2列联表的Fisher精确检验、Pearson相关系数和Spearman秩相关系数检验研究山西省历山自然保护区猪尾沟森林群落树种种间关系。

    The interspecific relationships of the main tree species in the forest communities were studied using Fisher 's exact test for a 2 × 2 contingency table , Pearson 's correlation coefficient , Spearman 's rank correlation coefficient .

  3. 采用Spearman相关分析进行统计。发现校正结果较为合理,且秩相关系数为0.739,达到了显著水平(P<0.01)。

    Spearman rank correlation coefficient was used to assess the results . The rank correlation coefficient is 0.739 ( P < 0.01 ) .

  4. 一种基于Spearman秩相关系数与熵的多属性决策方法

    A Multi-attribute Decision-making Method Based on Spearman Rank Relational Coefficient and Entropy

  5. 秩相关系数趋势预测表明:除COD有下降趋势外,其他主要污染物均有逐年上升趋势,且无机氮的上升趋势最为显著。

    The forecast trend of the order correlation shows that the main pollutants except COD have the upgrade trend and the trend of the inorganic nitrogen is the most notable .

  6. 本文将由Copula函数导出的Kendall秩相关系数Tau这种相关性度量指标应用到经典的投资组合分析框架之中。

    This paper resorted to copula theory and its conditional dependence measures , Kendall 's Tau , implemented it in the traditional mean-variance framework .

  7. 采用均值型指数法和Spearman秩相关系数法进行水质变化趋势分析。

    The trend analysis of water quality in Fuxi river was made by using average-index assessment method and Spearman coefficient of correlation method .

  8. 提出采用基于现场实测和模拟实验数据的Spearman秩相关系数的灵敏度分析方法计算隧道结构概率灵敏度。

    Sensitivity analysis method of spearman rank correlation coefficient based on field test and simulated experiments are used to calculation of sensitivity of tunnel structure .

  9. 以1996~2005年太原市大气中SO2的监测数据为依据,分析了十年间SO2浓度的时间变化特征及原因,并采用Spearman秩相关系数法对SO2浓度变化进行了趋势分析。

    According to the monitoring data of SO2 from 1996 to 2005 , the time characteristics and causes of SO2 pollution were analyzed , and the changing trends of the concentration of SO2 in ten years were described by using Spearman rank related coefficient rs.

  10. 秩相关系数在纺织研究中的应用

    Practice of Rank Correlation Coefficient in Textile Research

  11. 研究方法综合评价法,秩相关系数法,聚类分析法。

    Method of comprehensive evaluation , spearman rank relational coefficient and cluster analysis were employed .

  12. 性状加性遗传方差占总遗传方差的百分率与环境的变异系数呈显著的负相关,秩相关系数为&0.832。

    But the latter were significantly and negatively associated with the coefficient of environmental variation .

  13. 等级资料的多项相关、直线相关及秩相关系数的比较

    Comparison of coefficients among poly choric correlation , Pearson correlation and rank correlation of rank data

  14. 第一种排序模型是基于肯德尔秩相关系数的径向基函数网络。

    The first one is radial-basis-function network ( RBFN ) trained based on the rank correlation coefficient distance metric .

  15. 肯德尔秩相关系数则用于度量适应值与各个变量间的秩相关程度。

    Kendall rank correlation Coefficient ( RCC ) is adopted to measure the degree of rank correlation between the fitness and each variable .

  16. 使用秩相关系数进行数据均值变化的故障快速诊断;使用尾部相关系数对数据波动异常进行监控及诊断。

    Use rank correlation coefficient to do fast fault diagnosis ; use tail correlation coefficient to do monitoring and diagnostic for data fluctuations exception .

  17. 最后根据秩相关系数法对其进行了趋势分析,结果表明,北京市的降尘呈下降趋势。

    Moreover the changing trend is analyzed by rank correlation coefficient method . It is shown in the result that the amount of dustfall trends downwards in BeiJing .

  18. 本文论述了秩相关系数的概念和运算,并通过实例说明在纺织研究工作中的实用意义和计算方法。

    The paper represents the conception and cauculation of the rank correlation coefficient , and shows us the practical function and cauculation by way of practice examples in textile research .

  19. 计算两个秩数相关系数的最常用的方法。

    The most commonly used method of computing a correlation coefficient between the ranks of scores on two variables .

  20. 1年生苗高生长在生长的前期与后期,存在极显著相关性,10月中下旬起,秩次相关系数高且趋于稳定,达0.862~0.912。

    And that there is an early late relationship of seedling growth and after October the relationship is stable with a coefficient between 0.862 to 0.912 .