@Risk: N/A in Results from Parametric Bootstrapping

N/A in bootstrap means the fit failed for some resampled data. It doesn’t mean the original fit is bad; evaluate using stats and judgment.

Jan 7, 2026
Knowledge

Title

Answer

Applies to: @RISK 6.x and Up, Professional and Industrial Editions

Question: Why do some distributions show N/A for bootstrap results in @RISK distribution fitting?

Answer:

N/A means the bootstrap failed for that distribution.

Bootstrapping is done separately for each distribution. Failure occurs if @RISK cannot fit the distribution to even one of the resampled data sets. This does not mean the original fit is bad.

Fits are relative, and you should evaluate them using fit statistics and judgment.

Related Article:

Interpreting AIC Statistics

URL Name

na-in-results-from-parametric-bootstrapping

@Risk: N/A in Results from Parametric Bootstrapping

Information

Related Articles

Trending Articles