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Randomness  isn't haphazard.

It often displays an underlying order that can be quantified, and thus used to advantage.

This is the central purpose of Statistical Engineering.

 

 

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Charles Annis, P.E.
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Deterministic Engineering ...

... seeks to answer a question with a single number, assumed to occur with certitude, while probabilistic methods provide a range of likely answers, plus a statement on the probability of a given result.

 

Statistical Engineering ...
...leverages the engineer's understanding of how things work with the statistician's capacity to figure out why when they don't.  It quantifies factors often left to intuition, like uncertainty, incomplete information and complicated interdependencies.

 

Statistical Engineering applications -
SEbullet_2.gif (863 bytes) PAST - Extract precious information from your historical data,
SEbullet_2.gif (863 bytes) PRESENT - Plan for future data acquisition (experiments or surveys) to minimize the uncertainties in your result,
SEbullet_2.gif (863 bytes) FUTURE - Predict impending field problems, product reliability, and potential costs.
 

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Copyright © 1998-2008 Charles Annis, P.E.
Last modified: May 22, 2009