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Web technology for Research and Education in Statistics

Web technology for Research and Education in Statistics. WWW Statistical Tools XploRe Web-based Quantlets MD*Book MM*Stat. WWW Statistical Tools. Web technology for Research and Education in Statistics. Statlib (Method cemetery) (http://lib.stat.cmu.edu) Applets

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Web technology for Research and Education in Statistics

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

  2. WWW Statistical Tools Web technology for Research and Education in Statistics • 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/)

  3. WWW Statistical Tools Statlib • 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

  4. WWW Statistical Tools Statlib

  5. WWW Statistical Tools Applets • Small Java program • Start through web browser (client) • Easy availability via browser • Attractive for beginners • Multiple platforms • Code is prefixed • One’s own data cannot be handled • Closed package

  6. WWW Statistical Tools CGI Scripts • “Common Gateway Interface” • Doesn’t need Java • Start through web server • Easy browsing • Fast access • Only small data sets possible • Limited methods selection • Difficult to handle for authors

  7. WWW Statistical Tools Newsgroups • Access through email

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

  9. Web technology for Research and Education in Statistics Web-based Quantlets

  10. Web technology for Research and Education in Statistics Integrated Documents • Lively presentation • Object-oriented approach • Based on Oberon • Missing consistency • Problems with using one’s own data

  11. WWW Statistical Tools MD*Book

  12. WWW Statistical Tools MD*Book

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