Process Characterization: Goals and Objectives
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Assure that Proper Statistical Planning and Analysis is Used
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The primary goal of the project is to assure that appropriate,
and state-of-the-art statistical planning and analysis is
used in NIST work. In some cases, the statistician
judiciously selects and implements the most appropriate
existing statistical method to analyze experimental data.
In many cases, new statistical methods are developed to
address unique scientific challenges encountered by the NIST
research team. Some SED staff develop theoretical models to
augment experimental work done by NIST collaborators.
Examples of such work include Monte Carlo simulation of
physical processes and stochastic differential equation
modeling. Typically, SED staff develop long term
relationships with collaborators in the other NIST
Laboratories and develop intimate knowledge of the scientific
field in which they work.
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SED Statisticians Develop Appropriate Statistical Strategies
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As members of interdisciplinary teams, SED statisticians
contribute to process characterization in a variety of ways.
SED staff develop appropriate statistical strategies to meet
the needs of the research teams and actively participate in
the preparation of written records via NIST or archival
journal publications.
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Date created: 2/5/2002
Last updated: 2/5/2002
Please email comments on this WWW page to
sedwww@nist.gov.
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