方差贡献的英文

• variance contribution

• "贡献"英文翻译    contribute; dedicate; devote ...
• "初级像差贡献量" 英文翻译 :    primary aberration contribution
• "贡献" 英文翻译 :    contribute; dedicate; devote; contribution 贡献大小 size of one's contribution; 贡献自己的一份力量 contribute one's share; do one's bit (for); 对某事有所贡献 contribute to sth.; 他决心把毕生精力贡献给科学事业。 he is determined to devote his life to sicence. 中国应当对人类作出较大贡献。 china ought to make a greater contribution to humanity
• "方差" 英文翻译 :    dispersion; mean square deviation; variance
• "纯贡献" 英文翻译 :    net contribution
• "对…贡献" 英文翻译 :    contribution to
• "服务,贡献" 英文翻译 :    service to; serviceto
• "负贡献" 英文翻译 :    negative contribution
• "贡献,捐助" 英文翻译 :    contribute
• "贡献，把" 英文翻译 :    dedicate to
• "贡献，付出" 英文翻译 :    give of oneself
• "贡献，捐款" 英文翻译 :    congtribution
• "贡献，捐献" 英文翻译 :    contribution
• "贡献表" 英文翻译 :    contribution statement
• "贡献的" 英文翻译 :    arpu; contributing; contributivecontributory; dedicative; tributary
• "贡献度" 英文翻译 :    apru; arpu; contribution; customer profitability
• "贡献法" 英文翻译 :    contribution approach
• "贡献费" 英文翻译 :    contribution fee
• "贡献给" 英文翻译 :    be devoted to; devote to; make a contribution to
• "贡献奖" 英文翻译 :    merit award
• "贡献率" 英文翻译 :    contribution rate; contribution ratio
• "贡献人" 英文翻译 :    contributory
• "贡献图" 英文翻译 :    contribution chart
• "贡献于" 英文翻译 :    conduce
• "贡献者" 英文翻译 :    contributorcontributory; contributory

• 3 ) the result of the accumulated variance is 75 . 010 percent of total variance
  3 、正式施测的结果进行主成分分析，其累计方差贡献率较高，为75 . 010 。
• Regarding the variance contribution rate of each factor as right count weight , this thesis gets the evaluation score and rank
  在计算综合得分时是以因子的方差贡献率为权数加权求和，由此得到各地区的综合得分以及排名。
• Spca arithmetic has smaller number of spectral principal components and greater variance contribution than pca by choosing proper kernel functions and parameters
  当选取合适的核函数和参数时，谱主成分的个数比主成分的个数要小且累积方差贡献率要大。
• A more reasonable sao index is therefore defined as the sao variance percentage of the difference of the zonally averaged slp between 40 s and 65 s
  据此，提出用40 s和65 s纬圈平均海平面气压差的半年周期分量的方差贡献作为准半年振荡的强度，该定义较前人的定义更为合理。
• The results of numerical calculations show that : the number of spectral principal component and cumulate variance contribution are different its depending on kernel functions
  通过数值例子计算表明：取不同核函数而得到的谱主成分分析，其谱主成分的个数及累积方差贡献率是有差别的。
• Pca of x1 , x2and x3 successions was done , and from these three eigenvector fields , a principal component that its physical meaning is clear and its variance deficiency contribution rate is large ( over 75 % ) is found . and that principal component was defined as an integrative chilling damage index
  将寒害指标x _ 1 、 x _ 2 、 x _ 3序列作主要分量分析，从3个特征向量场中找出了一个物理意义清晰、方差贡献率大(大于75 )的主要分量，将其定义为综合寒害指数。
• In this paper , decadal variability of tropic and north pacific ' s ssta and of precipitation in china , correlations between them and the possible mechanisms of the ssta decadal change compacting on the precipitation decadal change are analyzed by using ncep globe temperature , wind and height data ( 1948 - 2001 ) , coads ssta data ( 1900 - 2001 ) and 147 stations " precipitation data in china . results show that : ( 1 ) mid - high latitude north pacific and tropic west pacific ssta have obvious decadal change , the prior ' s decadal change has great variance and the latter ' s has great contribution in total variance , the main eigenvectors " distribution are stable in eof of tropic and north pacific ssta ' s decadal variability , the key area of the first eigenvector allots in two sides of tropic pacific ; the second one ' s allots in mid - high latitude northwest pacific and low latitude mid - east pacific which vary contrary ; the third one ' s allots in middle north pacific
  本文利用ncep资料( 1948 - 2001年)中的全球表面温度场、风场、高度场资料， coads ( 1900 - 2001年)海表面温度距平资料及中国147个站点1951 - 2001年共51年的降水资料，探讨了热带及北太平洋ssta 、中国降水的年代际变化特征，夏季热带及北太平洋ssta年代际变化与中国夏季降水年代际变化的耦合相互关系以及夏季热带及北太平洋ssta年代际变化影响中国夏季降水年代际变化的可能机制，结果表明： ( 1 )北太平洋中高纬与热带西太平洋均有明显的年代际变化，北太平洋中高纬年代际变化方差显著，而热带西太平洋年代际变化方差贡献显著。
• Via numeric sample analysis , it is found that evaluation functions are constructed by weighing principal components for pca . however , evaluation functions can be quite different when there are more than three principal components and characteristic vectors other than first one are chosen in different directions . for spca , variance contribution can be greater than 90 % by selecting just one principle component
  将谱主成分分析应用于多指标评价系统中，通过数值例子分析：主成分分析是通过对各个主成分加权构造评价函数，当主成分个数不小三个时，从第二个特征向量开始，对方向的不同选取，可导致评价函数的极大差异：而用谱主成分分析，能做到只取一个谱主成分就可使方差贡献率大于90 。
• The three main conclusions are drawn : ( i ) by choosing 19 financial indexes , this paper makes a demonstrative analysis of the annals data of the listed companies in henan province in 2004 via factor analysis method , and finds out five principle factors which have important modifying effect on the evaluation of achievements of the listed companies . they are profit factor which represents the reward structure of the listed companies , the gained profit factor which represents the profitability of the companies , the debt service factor which represents solvency of the company , the management factor which represents the managed capacity of the companies and the development factor which represents the capacity for development . each principle factor multiplying its corresponding variance contribute rate get the synthesis score of each company respectively , consequently this paper makes an comprehensive evaluation of each company
  主要得出以下三个结论: (一) 、选取19个财务指标,用因子分析法对2004年河南省上市公司年报数据进行实证分析,找出对上市公司业绩评价有重要影响的五个主因子,分别是代表上市公司利润构成的利润因子、代表公司获利能力的获利因子、代表公司偿债能力的偿债因子、代表公司经营能力的经营因子和代表公司发展能力的发展因子,综合各个主因子得分乘以他们相应的方差贡献率,得到各个公司的综合得分,从而对各个公司的优劣作出一个综合评价。
• Since the first three principal components can account for 81 % of the total variance , the three corresponding fields should be able to represent the main characters of the spring precipitation . they are : synchronized in the whole area of the province ( 63 % of the total variance ) , out of phase with southeastern part and northwestern part ( 11 % of the total variance ) , and out of phase with southwestern part and northeastern part ( 7 % of the total variance )
  发现前3个典型场就基本能反映山东省春季降水分布的主要特征，其累积方差贡献率为81 ，前3个典型场为：总体一致型(方差贡献率为63 ) 、东南-西北反位相型(方差贡献率为11 ) 、西南-东北反位相型(方差贡献率为7 ) 。