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Web Technology for Research and Education in Statistics Humboldt-Universität zu Berlin André DouniaWolfgang HärdleZdeněk HlávkaImre KissTorsten KleinowSigbert.

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Presentation on theme: "Web Technology for Research and Education in Statistics Humboldt-Universität zu Berlin André DouniaWolfgang HärdleZdeněk HlávkaImre KissTorsten KleinowSigbert."— Presentation transcript:

1 Web Technology for Research and Education in Statistics Humboldt-Universität zu Berlin André DouniaWolfgang HärdleZdeněk HlávkaImre KissTorsten KleinowSigbert KlinkeHeiko LehmannMarlene MüllerDaniel RahausBernd RönzAxel WerwatzRodrigo WitzelUwe ZiegenhagenThe Multimedia Team!

2 Web technology for Research and Education in Statistics WWW Statistical Tools XploRe Web-based Quantlets MD*Book MM*Stat

3 Statlib (Method cemetery) (http://lib.stat.cmu.edu) Applets (http://www.stat.duke.edu/sites/java.html) CGI scripts (http://www.stat.ucla.edu/calculators) Newsgroups (news://sci.stat.math) Integrated Documents (http://www.viror.de/) Web technology for Research and Education in Statistics WWW Statistical Tools

4 Obtain code from statlib copy and paste into the editor Run +Rich methodology +Easy drop of methods –No homogeneous platform –No guarantee –Need proper software WWW Statistical ToolsStatlib

5 WWW Statistical ToolsStatlib

6 Small Java program Start through web browser (client) +Easy availability via browser +Attractive for beginners +Multiple platforms –Code is prefixed –Ones own data cannot be handled –Closed package WWW Statistical ToolsApplets

7 Common Gateway Interface Doesnt need Java Start through web server +Easy browsing +Fast access –Only small data sets possible –Limited methods selection –Difficult to handle for authors WWW Statistical ToolsCGI Scripts

8 WWW Statistical ToolsNewsgroups Access through

9 Net-based quantitative methods Exists for many user groups Combined into Quantlibs Can be accessed from many platforms Tutorials guide through complex statistical situations Web technology for Research and Education in Statistics Web-based Quantlets

10 Web technology for Research and Education in Statistics Web-based Quantlets

11 Web technology for Research and Education in Statistics Integrated Documents + Lively presentation + Object-oriented approach – Based on Oberon – Missing consistency – Problems with using ones own data

12 WWW Statistical ToolsMD*Book

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