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Variable: EDGUncertaintyExample

const EDGUncertaintyExample: object

Defined in: packages/docs-md/.tmp/typedoc-sanitized/mef-types/lib/data-analysis/example-data-analysis.ts:46

Example of a detailed Uncertainty object for EDG failure rate

This example shows how to structure uncertainty information for data analysis parameters, including distribution parameters, risk implications, and correlations.

Type Declaration

correlations

readonly correlations: readonly [{ correlationFactor: 0.8; correlationType: "common_cause"; description: "Common cause failure correlation between EDG A and B"; parameterId: "DA-EDG-B-FR"; }]

distribution

readonly distribution: "lognormal" = "lognormal"

model_uncertainty_sources

readonly model_uncertainty_sources: readonly ["Limited operational data", "Environmental factors not fully characterized"]

parameters

readonly parameters: object

parameters.errorFactor

readonly errorFactor: 3 = 3

parameters.mean

readonly mean: 0.0012 = 1.2e-3

riskImplications

readonly riskImplications: object

riskImplications.affectedMetrics

readonly affectedMetrics: readonly ["CDF", "LERF"]

riskImplications.propagationNotes

readonly propagationNotes: "Major impact on SBO sequences" = "Major impact on SBO sequences"

riskImplications.significanceLevel

readonly significanceLevel: "high" = "high"

Example

typescript
// Complete example of an uncertainty object for EDG failure rate
const edgUncertainty = {
  correlations: [
    {
      correlationFactor: 0.8,
      correlationType: "common_cause",
      description: "Common cause failure correlation between EDG A and B",
      parameterId: "DA-EDG-B-FR"
    }
  ],
  distribution: "lognormal",
  model_uncertainty_sources: [
    "Limited operational data",
    "Environmental factors not fully characterized"
  ],
  parameters: {
    errorFactor: 3,
    mean: 1.2e-3
  },
  riskImplications: {
    affectedMetrics: ["CDF", "LERF"],
    propagationNotes: "Major impact on SBO sequences",
    significanceLevel: "high"
  }
};