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statistical data analysis相关的网络例句

查询词典 statistical data analysis

与 statistical data analysis 相关的网络例句 [注:此内容来源于网络,仅供参考]

The questionnaire method and the interview menthod were used to gain the tourist data, the quota sampling method was used in sampling survey, the principal component analysis method was used to measure the various variables, the statistical methods such as linear regression analysis, multivariate linear regression analysis, single factor variance analysis and logistic regression analysis were used to analyzes the relationship between various variables.

具体来说,在获取游客数据时采用了问卷调查法和访谈法,在抽样调查时采用了配额抽样方法;对各变量进行测度时使用了主成分分析法;在分析各变量之间相互关系时采用一元线性回归分析、多元线性回归分析、单因素方差分析及Logistic回归分析等统计方法。

Based on the analysis of the current state of research on data deduplication technologies, this paper makes several conclusions as follows: a How to mine data characteristic information in data deduplication has not been completely solved, and how to use data characteristic information to effectively eliminate duplicate data also needs further study; b From the perspective of storage system design, it still needs further study how to introduce proper mechanisms to overcome the reliability limitations of data deduplication techniques and reduce the additional system overheads caused by data deduplication techniques.

通过对重复数据删除技术当前研究现状的分析,得出如下结论:a 重复数据删除中的数据特性挖掘问题还未得到完全解决,如何利用数据特征信息有效地消除重复数据还需要更深入的研究;b 从存储系统设计的角度,如何引入恰当的机制打破重复数据删除技术的可靠性局限并减少重复数据删除技术带来的额外系统开销也是一个需要深入研究的方面。

The design of this dissertation begins with the definition of audience data structure based on considering the embedded developing environment features. The dissertation uses the STi5518 chip by ST Microtones to collect audience data, and then the SI analysis and OSD interactive function are used to gain the user watching information. Then collect audience data in EEPROM of STB, use STB and serial to transmit the data, then use the RS232 serial port and RJ-45 converter to realize the data Return of Serial to Ethernet, in the process of data Return it completes the conversion of data format.

本设计首先在嵌入式环境的前提下,在用户数据采集和回传工作中采用了ST Microtones公司提供的STi5518芯片作为机顶盒主芯片,根据收视率调查需要制定出用户的收视信息数据结构,并结合数字电视业务信息分析以及机顶盒的屏幕显示互动功能,对用户的收视情况进行记录;然后把记录的数据存储到机顶盒的EEPROM中,并利用机顶盒串口输出数据,再利用RS232串口与RJ-45转换器实现串口转以太网的数据回传,在回传过程中完成了数据格式的转换。

Abstract〕similar to regression analysis,cluster analysis,etc.,correlation analysis is also the basic work for information researches.canonical correlation analysis can be used to analyze the relationship between two groups of variables,and thus worth for using in information science.method of canonical correlation analysis was presented in present study.a java-based network algorithm of canonical correlation analysis was developed,which can be used to calculate the canonical correlation coefficients,canonical variable pairs,and statistical significance of canonical correlation coefficients.the algorithm may be run on java-compatible web browser.at the same time,paper publishing information and citation statistics in information science of china in past years were analyzed using the algorithm,and a number of conclusions were drawn.

摘 要〕与因果分析等一样,相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系,在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法,给出了典范相关分析的java网络算法软件,可用于计算典范相关系数,典范变量对,以及典范相关系数的统计显著性。该软件可在兼容java的网络浏览器上运行。同时,用该算法对国内情报信息论文的发文和引文统计数据进行了分析,得到了一些结论。

There are several methods can be applied in symptom complex study: Principal component analysis, Factor analysis, Cluster analysis, Regression analysis, and Correspondence analysis, etc. In this article, the author introduces the application of multivariate statistical analysis in TCM symptom complex normalization research in the following four aspects: establishing the basic symptom, filtering optimization index, settling the weight of the index, and setting up the mathematical model.

本文从确立基本证型、筛选优化指标、确立优化指标的权重、建立证候数学模型等4个环节上介绍了多元统计分析在中医证候诊断标准领域的应用,并指出:多元统计分析是研究多因素和多指标问题的统计分析方法,证候诊断学正是研究疾病的多种证型与多种症状之间的关系问题,因此,可以将多元统计分析应用于中医证候的规范化研究中。

Aiming at the actual situation that there is a mass of daily operation data kept in enterprise databases and the developing trend of domestic AIS, a data organizing structure of the Data Warehouse applied to accounting information analysis and a method of data superadding are described. Choosing Star Schema as multi dimension analysis model, OLAP is applied to data operations to achieve decision analysis.

针对企业数据库中已保存了大量日常业务数据的现况和我国会计信息系统向管理型、企业化发展的趋势,提出将数据的信息型处理与事务型处理分离,构建基于数据仓库的企业管理信息系统,设计了一种面向会计信息分析的数据仓库的数据组织结构,给出数据追加的方法,以星型模型为多维分析模式,运用OLAP对数据进行各项操作,实现决策分析

I make use of the space-analysis technology in the geographical information , combining with the analyzing method of the space statistics, and making some improvement of these methods.Basing on the theoretical algorithm, Author draw a main frame by using the Visual Studio 2005, employ the C# program-design language, ArcEngine9.2, and ArcGIS Server ADF to design the model system and functional module. In this paper author construct a model system provided with the client-analyzing function and server data- promulgate function. Through this paper I have solved some problems on the operation, including the deviation between data management and data analysis, the data analysis renegading from the special data issuance.

本论文在相关理论算法的基础上,以Visual Studio 2005为系统开发的主体框架,使用C#程序设计语言,结合ArcEngine9.2、ArcGIS Server ADF组件技术,进(来源:80ABf8C论文网www.abclunwen.com)行人口模型系统的设计与功能模块的开发,构建了具有客户端分析功能与服务器端专题数据发布功能的人口模型系统,解决了数据管理与数据分析脱离、数据分析与专题数据发布脱离的业务流问题。

Data structure is a professional and technical basis for classes, and he can help you learn computer analysis of the data processing structure characteristics, in order to choose the appropriate application of the logic of data structures, storage structures and the corresponding algorithms, and preliminary analysis of algorithms of time and space analysis techniques, But some algorithm data structure (linear scales, warehouse and accounts, string, etc.) will be some difficulty in understanding the data structure algorithms demonstration system is an effective way to resolve this difficult, and he gives a more intuitive understanding.

数据结构是一门专业技术基础课,他能帮助大家学会分析研究计算机加工的数据结构的特性,以便为应用涉及的数据选择适当的逻辑结构、存储结构及其相应的算法,并初步学会算法的时间分析和空间分析的技术,但数据结构中的一些算法(线性表、栈和队列、串等)在理解上会有些困难,数据结构算法演示系统正是解决这个困难的一种有效方法,他给人更直观的理解。

We also used the latent heat daily data、sensible heat daily data、relative humidity data and OLR daily data from NCEP-DOE Reanalysis2 which formed as 2.5-degree latitude x 2.5-degree longitude global grid with 144x73 points(1982~2005). The data of subtropic high ridge offered by Bational Climate Center . With singular value decomposition analysis, we studied key region of ocean-atmosphere interaction in the mid-latitudes in the Pacific. Second, by using wavelet analysis to study the character of the key regions of SST.Moreover the correlation analysis can help us to understand the reason of the cold water formed and the physical process of ocean-atmosphere interaction in the mid-latitudes in the Pacific. There are three mostly SVD modes which contribution reach to 70%,So the three mostly modes can reflect the mostly structure in the key region.

采用奇异值分解方法对1982~2005年逐候SSTA场和500hPa位势高度场进行同期、大气超前海洋、大气滞后海洋的分析,确定中纬度西北太平洋海气相互作用的关键区;利用小波分析对关键区海温和副高脊线进行周期分析,深入了解研究区域海温和副高脊线的年际、年代际变化特征;通过关键区海温与500hPa位势高度距平场的相关分析,研究中纬度西北太平洋SST异常与副高位置异常的关系;针对2005年夏季关键区SST异常与副高脊线位置异常开展海气相互作用物理量分析和大气环流分析,探讨关键区SST异常对副高位置异常的可能影响过程。

In this research, the SOLO (Structure of the Observed Learning Outcome) Taxonomy presented by Australian scholars Biggs and Collis (1982) was adopted, and students studying the fifth and sixth grades in Taipei area were chosen as research targets.This study was primarily implemented with a quantitative analysis and supported by a qualitative analysis. In order to carry out the research, a questionnaire had been designed with criteria suggested by Jones et al.(2000), including "describing data","organizing and reducing data","representing data" and "analyzing and interpreting data." This questionnaire consisted of open-ended questions, and after analyzed with qualitative methods, the responses were classified and scored based on standards set in SOLO Taxonomy. Then the quantitative method "Partial Credit Analysis" from Rasch model was adopted in examining the reliability, validity and consistency of outcomes from the qualitative analysis.

提出的统计思维架构-「描述资料」、「组织及简化资料」、「呈现资料」、「分析资料」作为评量试题的向度,题型为开放性问答题,在区分学童的答题表现方面,采用质的分析,参照SOLO(Structure of the Observed Learning Outcome)分类法的分类标准,将学童不同的答题反应进行分类,给予不同的分数,最后再采用Rasch model中的部份给分模式进行量化分析,以量化数据佐证质性分析的信度与效度,以及不同给分的吻合度。

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