Best-Fit Distribution

If the Data Type for a Histogram is one of the Calculated Data Types (i.e., Factor of Safety, Wedge Weight, etc.), then a Best Fit Distribution can be determined, using the Kolmogorov-Smirnov Goodness of Fit test.

The Goodness of Fit test will determine which one of the Probability Density Functions available in UnWedge (e.g., Normal, Uniform, Triangular, Beta, Exponential) gives the best fit to the data. The distribution which best fits the data will be displayed on the histogram, and listed at the bottom of the plot. The Kolmogorov-Smirnov test is described in Law & Kelton (1991).

The Best Fit Distribution option is available in the right-click menu, and also in the Histogram Plot Parameters dialog when you initially generate a Histogram.

Interval markers can be displayed on the Best Fit Distribution with the Markers option.