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QMS 发布 EViews 6 beta (下载 2007-02-15 build)
2007-02-17  pomine.com
什么是 EViews ?
请浏览 show_software.aspx?pName=EViews
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下载最新 EViews 6 beta 请点击: 这里
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QMS 愉快的宣布 EViews 6 现在已经对 EViews 5 的当前用户开放,用于早期的 beta 测试。
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为了将 EViews 6 beta 安装到你的电脑上,你应该下载并运行下面提供的可执行文件。安装程序会询问你安装路径,并会从原来已存在的 EViews 中复制文件,以及安装 EViews beta 的文件,到指定目录中。(注意:除非你已经在你的电脑中安装了 EViews 5.1,否则 beta 版不会执行)
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当前的 EViews 6 beta 版本包括很多,但不是全部新的版本 6 的功能。更多的功能会在后续的更新中加进去。这个版本的 EViews beta 是限制了使用时间的,会在 2007.3.31 停止运行。我们建议你经常查看更新,以便获得 bug 修正、新功能,以及最新的文档。
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如果遇到任何问题,或者有任何建议,我们将非常高兴获得你的回馈。为了报告问题,请尽可能的描述发生问题时的情况,包括你执行的系列操作,以及系统提供的任何信息。并请将 EViews 6 的编译日期包括在任何通信中。你可以从主菜单的 Help/About EViews 中了解当前 EViews 的编译日期。邮件请发送到 info@pomine.com 或者 evbeta6@eviews.com
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What's New?
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EViews 6 features a wide range of exciting changes and improvements. The following is a brief list of the most important new features in Version 6 that's included in this beta. Please see the Beta documentation for further details.
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Improved Performance
  • Series expressions are now compiled to native machine code so that operations involving evaluation of series should be significantly faster
Econometric and Statistical Features
  • Multivariate GARCH estimation
  • Expanded heteroskedasticity testing
  • New breakpoint tests
  • Quantile regression
  • Expanded covariance analysis
  • Enhanced principal components analysis
  • Full range of factor analysis tools
  • Stepwise regression
  • More flexibility in binary, count, censored, and ordered choice estimations
  • IGARCH and target variance supported in ARCH estimation
Models
  • Substantial speed increase in solving large sparse models
  • Added Broyden solution algorithm
  • Bootstrap available in stochastic simulations
  • Saving of each repetition in a stochastic simulation
  • Equations can now be excluded based on whether actual values are available for the variable in each period
Graphics
  • New basic graph types: dot plot, area band
  • Improved axis labeling, including character labels, rotation of axis labels, and hierarchical labeling
  • Graphs of summary statistics may be easily displayed
  • Histograms, boxplots, or kernel density graphs may be displayed in the margins of observation (line, bar, scatter, etc.) graphs
  • New univariate statistical graphs: histograms with options for controlling bins, frequency polygons, histogram edge polygons, average shifted histograms, fitted theoretical distribution plots (e.g., a normal density fit to sample data), empirical log survivor plots, confidence ellipses
  • Statistical graphs may now be overlaid on other graphs e.g. kernel density on top of fitted normal distribution graph
  • Categorical graph tools allow you to construct observation or analytical graphs formed using various subsets of the data, where the subsets are defined using the values of one or more categorical conditioning variables
  • New customization tools allow you greater control over the graph display
  • Ability to save graphs in .bmp,.gif,.png, and .jpg formats (not yet documented)
Output Management Tool
  • New Spool object that allows you to combine the output from many EViews procedures into one object which can be edited, saved and printed
Databases
  • Direct access from within EViews to databases Datastream (a service of Thomson Financial), FactSet and Moody's Economy.com
  • (Note that these features are available to all users of the beta version but will only be available to users of the Enterprise edition of EViews in final release)
  • Series imported into workfiles from a database can now maintain a link to the source database, allowing the data to be refreshed from the database each time the workfile is opened, or upon user request
New or Enhanced Functions
  • @expand has been enhanced so that it may be used inside expressions
  • @rank: ranking function for a series – calculates the relative rank of each observation
  • Variances and covariances calculations now offer separate functions for population\maximum likelihood computation and unbiased estimation
  • Moving functions: A new set of moving statistic functions (e.g., @movstdev) to complement the existing @movav and @movsum
  • Cumulative functions: Perform calculations on cumulative statistics from the start, or end, of the workfile
  • Group Row functions: Calculate statistics on the rows of a group
Miscellaneous
  • EViews program files are now displayed with syntax coloring
  • Spawn and shell commands to run external programs from within EViews (not yet documented)
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