Difference between revisions of "Data Model Integration (DMI)"

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Definition|title=DMI
 
Definition|title=DMI
|definition= Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines (see also [[Use of models, Data Model Integration]]).  
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|definition= Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines.  
 
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==See also==
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* [[Reduction of uncertainties through Data Model Integration (DMI)]]
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* [[Model calibration]]
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* [[Model validation]]

Latest revision as of 14:35, 6 December 2007

Definition of DMI:
Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines.
This is the common definition for DMI, other definitions can be discussed in the article


See also