North American moth whose larvae feed on young plant stems cutting them off at the ground.

A young plant springs forth from the soil.

一棵幼苗从土中长出来.

词典精选例句

Design and Implementation of China Financial Data Network Based on Frame Relay

基于帧中继的中国金融数据通信网的设计与实现

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The Study of Report Agile Analysis in Financial Data Integration

金融数据集成中数据展现的敏捷分析方法研究

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The Analysis of Second-order Volatility Matrix under High Frequency Financial Data

高频金融数据下二阶波动率阵的分析

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Design and Realization of a Financial Data Storage and Management System

金融数据存管系统的设计与实现

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The shortcomings of traditional risk analysis methods is that it may underestimate the risk seriously, Copula function can reflect the dependence structure between variables and describe peak heavy-tail and unsymmetric of financial data and so on, therefore, it has been developed rapidly in the financial analysis.

传统风险分析方法具有可能严重低估风险的缺点，Copula函数（连接函数）能够体现变量之间的相关结构以及描述金融数据尖峰厚尾和非对称等性质，因此在金融分析中得到迅速发展。

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According to a report by FactSet released last week, the S& P 500 could see a deeper 1.6% fall if Apple were excluded.

金融数据和软件公司FactSet上周发布的一份报告预计，如果剔除苹果，标准普尔500指数的总利润跌幅将更深，达到1.6%。

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The Autoregressive Conditional Heteroskedastic ( ARCH) class of models for conditional variances was put forward by Engle ( 1982) proved to be extremely useful for analyzing economic time series. GARCH models have been developed to account for empirical regularities in financial data.

Engle（1982）提出的ARCH模型，对经济时间序列中的条件方差分析十分有用，ARCH模型可以很好地刻划金融数据。

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Other findings related to jump process between Share A and Share B are also discussed in this paper. Limitations of GARCH model in dealing with Jump process is described and how to figure out the distortion is investigated.

本文同时讨论了A股B股的跳跃性特征。分析了模型跳部件与连续路径部件之间不能等同视之原因，得出GARCH模型不能适用于处理带跳金融数据的结论。

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Bloomberg is planning a further year of aggressive investment and may make more acquisitions as the financial data group seeks to broaden its reach to become the world's most influential source of news.

金融数据集团彭博社（Bloomberg）正计划在新一年再度积极投资，并可能进行更多的收购活动，以求扩展自身影响力、成为世界上最有影响力的新闻源。

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The model is applied to a financial data set and compared with other competing models.

将MARMA模型应用于一组金融数据，并和其它模型做比较。

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ARCH models have a good resolution on financial data clustering phenomenon, and have a wide range of applications in the volatility of the estimated financial data. This article will use the ARCH family of models of volatility to make the analysis.

ARCH族模型对具有集簇现象的金融数据具有较好的拟合性，且在对金融数据的波动率估计方面有相当广泛的应用，就此，本文也将使用ARCH族模型进行对波动性的分析。

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Finally, this thesis does an in-depth empirical research with the relevant financial data and technological innovation data which from 15 OECD countries from 1988 to 2000.The thesis is composed of six parts.

最终选择世界经合组织（OECD）中15个国家1988年至2000年的相关金融数据和反映技术创新的有关数据进行了深入的实证研究。

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In current time, people can get much information through mobile applications, SMS and WAP. Internet games, news subscribe, financial data and mobile pay are also well-supported.

通过移动应用程序、短信功能和WAP应用，人们已经能够获取大量的信息，同时通过手机还可以实现网络游戏、新闻订阅、金融数据获取、无线支付以及其它个性化的应用。

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For example, the Sarbanes-Oxley act ( SOX) defines strict guidelines for how financial data should be retained, accessed, and modified.

举例来说，Sarbanes-Oxley法令（SOX）定义了金融数据应该如何保留、获取，和修改的严密指导。

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In this paper, the author is attempting to apply ICA to the financial datas and natural image denoising, at the same time we give their simulative results.

在本文中，作者还尝试着将ICA运用到金融数据分析和图像的消噪方面，并给出了其仿真结果。

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Therefore, main financial data providers in the world pay more and more attention to how to design a valuable software system with ETL technology.

因此，世界上主要的金融数据提供商也越来越着重于应用ETL技术来设计软件系统，为公司对金融数据的分析和处理提供技术支持。

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The Implement of Financial Data Analysis Module Base on SSAS Technology

基于微软SSAS技术的金融数据分析模块的实现

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The finance data warehouse based on Microsoft SQL Server 2000, not merely operate transaction process such as data inquire, and can carry on complicated analysis to various data;

系统构建了以microsoft SQL server2000为平台的宏观金融数据仓库，不仅能对业务数据进行查询等事务型处理操作和简单的统计汇总，而且还能对各种数据进行复杂分析；

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With the explosive growth of the Web data, searching and mining varieties of professional Web data such as the financial data, academic data, military information, sports information and so on, have become emerging hot issues.

随着互联网Web数据的爆炸式增长，各种专业领域的Web数据搜索与挖掘成为一个新兴的热点研究问题，比如对于金融数据的搜索挖掘、学术搜索、军事信息的搜索、体育信息的搜索等等。

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