NDV

NDV[v,se]
represents a value associated with an uncertainty in the form of a normal distribution with mean v and standard error se.

DetailsDetails

  • NDV values can be used to propagate uncertainties and carry out sensitivity tests using the functions DVEvaluate, MCEvaluate and MonteCarloSimulation.
  • The arguments v and se are similar to the arguments of NormalDistribution.
  • By default, NDV values show the mean and (relative) 95% confidence interval using the parenthesis form. For example, a NDV with mean 1 and standard error 0.1 is displayed as 1.00(20).
  • Values can be shown using the ± form, e.g. 1.00±0.20, by setting $UsePlusMinusForm to True.
  • Confidence intervals for the output are calculated using Z-values.
  • Different confidence levels can be set using the function SetConfidenceLevel.

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

Define a normal distribution value with mean 1 and standard error 0.1:

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Change the displayed uncertainty level to 99%:

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Display the value using the ± form:

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Use DVEvaluate to propagate uncertainties:

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