statistics n. 1.统计学,统计法〔用作单数〕。 2.统计数字[资料],统计表〔用作复数〕。 Government statisticsindicate that prices have gone down. 政府统计指出物价已经下降。 You may consult the statistics on population issued by the government. 你可以查一查政府发表的人口统计。 the vital statistics (出生、结婚、死亡等)人口动态统计。 collect [take] statistics 进行统计。
10 dubes r c , jain a k . random field models in image analysis . journal of applied statistics , 1989 , 16 : 131 - 164 . 11 li s z . markov random field modeling in computer vision 本文在分析借鉴先前各种抠图算法优缺点的基础上,提出了一个在mrf模型中的复杂图像抠图框架,把mrf模型应用到了自然图像抠图领域中。
From the possessed data , we know that the research abroad on esops has turned to practical domain to emphatically investigate the achievement of the enterprise , synthetically applying statistics , administrative , financial and psychology method 从已有资料看,目前国外对职工持股制度的研究已经转向实证领域,综合使用统计、管理、财务乃至心理学等方法,着重对实施职工持股的企业的绩效进行考察。
To achieve these objectives , the curriculum of the programme is well balanced between application and theory . flexibility is also given to students to select between the " applied statistics stream " and the " data science and business statistics stream " 为达至以上目标,课程之设计很好地兼顾了应用和理论两方面。学生亦有充分的灵活性,可以因应自己的专门兴趣专修应用统计组或数据科学及商业统计组。
Mainly basing on the theory of brand equity and the theory of brand extension , applies statistics analysis , comparison analysis , the case example analysis and questionnaire investigation , and systematically analyses the status of the management of enterprise ’ s brand in xpcg 本文主要以品牌资产理论和品牌延伸理论为理论基础,综合应用统计分析、比较分析、案例分析和问卷调查等方法,对兵团企业品牌管理进行了比较系统的研究。
Following this model , the paper provides samples and produces the corresponding results and interprets . this procedure illustrates how to apply statistic model to data mining . at last , the author presents a framework of such a data mining application which relies on sas technologies 最后,给出了系统实现的总体结构,重点介绍了数据挖掘服务器sas和客户端进行交互的技术,总结了在本课题中的所用的数据挖掘流程和系统结构。
Data rectification is a modern technique to improve the quality of measurement data , and its main purpose is to eliminate the random errors and gross errors included in original data by making use of applied statistics , identification , optimization and other techniques 数据校正的目的就是综合应用统计、辨识和优化技术,对实测数据进行调整,消除数据中包含的随机误差和显著误差,去掉明显错误的或不可靠的测量数据,从而提高测量数据的质量。
Knowledge discovery in database which widely applies statistics theory , rough sets theory , fuzzy theory . machine learning as well as expert systems and other scientific ways is essentially the nontrivial process of identifying valid , novel , potentially useful and ultimately understandable patterns in data as one of technology theories applying for knowledge discovery in database , rough sets theory which mainly targets to identify incomplete and uncertain data was forwarded by z pawlak in 1982 数据库知识发现通过综合运用统计学、粗糙集、模糊数学、机器学习和专家系统等多种技术从各种数据库中提炼出先前未知的、平凡的、具有潜在应用价值的信息或模式,从而揭示出蕴涵在这些数据背后的内在联系和本质规律,指导人们有效地利用数据库中的数据并为正确决策提供依据。
This paper define the theory of product combination , product life cycle product innovate , product system , product entity scheme , product market analyse , product development scheme , product price scheme , product place scheme , product brand management . connect practice , analyse products actuality of dfmc transmission ltd . co . and consult the demand of auto market . apply statistics , stage , technique innovate , marketing , industrial economics , product management and stratecis brand management to discover problem , analyse problem , solve problem . dfmc transmission ltd . co . change from scheme economic to market economic , become a comparative independence corporation from only produce gearbox plant 本文通过对产品组合、产品生命周期、产品创新、产品体系、产品实体策划、产品市场分析、产品开发策划、产品价格策划、产品渠道策划、产品品牌策划的理论阐述,结合实际,对东风汽车变速箱公司的产品现状进行剖析、以及对中国汽车市场发展需求的探讨,运用统计学、运筹学、技术创新学、市场营销、产业经济学、产品管理和品牌营运等理论,去发现问题、分析问题、解决问题。
Applying statistic learning theory and support vector machine in high dimensional multispectral data classification , the hughes phenomenon is mitigated and higher classification accuracy is obtained . the relation between the performance of svm and kernel function , support vector , training set , data dimension and so on is studied . 2 深入研究了在高维多光谱数据分类中, svm的性能与核函数类型、核函数参数、支持向量( supportvector ? sv ) 、训练样本数目、数据维数等之间的关系。