Web Technology for Research and Education in Statistics Humboldt-Universität zu Berlin André...

Web technology for Research and Education in Statistics

• WWW Statistical Tools

• XploRe

• Web-based Quantlets

• MD*Book

• MM*Stat

• 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/)


WWW Statistical Tools

• 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 Tools Statlib

WWW Statistical Tools Statlib

• 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

WWW Statistical Tools Applets

• “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

WWW Statistical Tools CGI Scripts

WWW Statistical Tools Newsgroups

• Access through email

• 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-based Quantlets

http://ise.wiwi.hu-berlin.de/~mmedia/cdrom/start.html

http://ise.wiwi.hu-berlin.de/~mmedia/cdrom/start.html


Web-based Quantlets


Integrated Documents

+ Lively presentation

+ Object-oriented approach

– Based on Oberon

– Missing consistency

– Problems with using one’s own data

WWW Statistical Tools MD*Book



















Date post:	27-Mar-2015
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