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GOES-R Glossary of Terms


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For a complete list of GOES-R Acronyms & Glossary. . . click here (pdf)

Qualification   See Design Qualification Tests.
Qualitative Risk Analysis   A subjective assessment of risks to determine: which risk events warrant a response; the probability and impact of all risks; the probability of each risk occurring based on past experience; the impact of each risk; which risks to analyze more fully using quantification; and the overall risk ranking for the program.
Quantitative Risk Analysis   A numerical analysis of the probability and consequences (amount at stake or impacts) of the highest risks on the program.

Risk quantification involves the following activities:
  • Further investigation into the highest risks on the program
  • Determination of the type of probability distribution that will be used – e.g., triangular, normal, beta, uniform, or log normal distribution.
  • Interviewing experts (data elicitation)
  • Sensitivity analysis – determine which risks have the most impact on the program
  • Monte Carlo analysis (computer based simulation)
  • Decision Tree analysis

 

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