WOLF ENERGY SA
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Engineering & Technology

 

RANDOM VARIABLES

MAIN FEATURES

  • Selection of an unlimited number of probability distributions and data sets for each analysis
  • Description of each probability distribution through statistical parameters of the random variable (mean, standard deviation, coefficient of variation, etc.)
  • Computation of probability density function, cumulative distribution function, etc. in analytical form
  • Description of each data set through an unlimited number of samples (identification name, date, time, value, etc.)
  • Computation of probability density function, cumulative distribution function, etc. in discrete form
  • All computations (including calibration and validation) based on most widely used probability distributions (normal, lognormal, extreme value, etc.)
  • Construction of probabilistic charts
  • Comparison of analytical results with available field data
  • Visualisation of results
  • Suitable for designing and testing

OPTIONS FOR IO OPERATIONS

  • Microsoft Excel Spreadsheet Files (xlsx)

OPTIONS FOR GRAPHICS

  • Standard Image Formats (jpeg, tiff)
  • Portable Document Format (pdf)

TEST CASES

Figure 1 and Figure 2 compare continuous and discrete distributions coming out from two different data sets of the random variable under investigation.

Figure 1. Cumulative distribution function (Y-Axis) versus random variable (X-Axis).

Figure 2. Standard random variable (Y-Axis) versus random variable (X-Axis).

DELIVERABLES

 

User's Manual

PDF