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15th Mini EURO Conference Managing Uncertainty in Decision Support Models MUD SM 2004 COBRA PORTUGAL September 2224, 2004ACCOMMODATION Accommodation prices: All prices indicated are in Euros, per
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Identify the areas or situations where uncertainty and imprecision exist.
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Scientists and researchers who deal with complex and uncertain data.
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Uncertainty and imprecision refer to the lack of accuracy and reliability in data, measurements, or assessments that can affect the quality of decision-making and the outcomes of analyses.
Typically, organizations or individuals involved in scientific research, statistical analysis, and regulatory compliance are required to file uncertainty and imprecision reports.
To fill out uncertainty and imprecision documentation, one must provide specific details such as methodologies used, sources of variation, calculations of uncertainty, and any relevant data that outlines the imprecision in measurements.
The purpose of documenting uncertainty and imprecision is to enhance transparency, improve data quality, enable better decision-making, and comply with regulatory and reporting requirements.
Information that must be reported includes the types of measurements, sources of uncertainty, estimates of the magnitude of uncertainty, and any relevant statistical data that illustrate the level of imprecision.
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