DATA ANALYSIS PACKAGE SYMBOL
DVEvaluate
DetailsDetails
- DVEvaluate uses linearizations to propagate uncertainties, requiring that the partial derivatives can be calculated for the expression.
- For non-correlated errors, the standard error for an expression expr with NDV/DV values x1, x2, ... is calculated as seexpr=.
- For highly non-linear expressions, the linearizations are not valid and MCEvaluate or MonteCarloSimulation should be used instead.
- The following options can be given:
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CorrelatedErrors False CorrelatedErrors specifies whether to assume that all random errors are perfectly correlated (True) or completely uncorrelated (False). AssumeND True AssumeND specifies whether to assume that the resulting distribution is a normal distribution (True) or not (False).