Difference between revisions of "Statistical Modeling"

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'''Statistical Modeling''' is the process by which phenomena are approximated using statistical methods. This can be very useful when trying to determine accuracy of collected data, or for approximating the course of an event which has not yet occurred.
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[[File:TempModel.png|300px|thumb|right|A model of global temperatures <ref>Cobb, Loren. The Causes of Global Warming: A Graphical Approach. 2007. Photograph. n.p. Web. 9 Oct 2012. <http://tqe.quaker.org/2007/TQE158-EN-GlobalWarming-V1.html>.</ref>]]
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'''Statistical Modeling''' is the process by which events of interest are approximated using statistical methods and interpretation. This can be very useful when trying to determine accuracy of collected data, or for approximating the course of an event which has not yet occurred.
  
 
==Background==
 
==Background==
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==References==
 
==References==
 
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<references/>
 
==External Links==
 
==External Links==

Revision as of 22:41, 9 October 2012

A model of global temperatures [1]

Statistical Modeling is the process by which events of interest are approximated using statistical methods and interpretation. This can be very useful when trying to determine accuracy of collected data, or for approximating the course of an event which has not yet occurred.

Background

History

Types

Uses

Ethical Concerns

See Also

Data Mining
Data Aggregation Online

References

  1. Cobb, Loren. The Causes of Global Warming: A Graphical Approach. 2007. Photograph. n.p. Web. 9 Oct 2012. <http://tqe.quaker.org/2007/TQE158-EN-GlobalWarming-V1.html>.

External Links