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Variable-Constant Variable

Address in BI

 Define Menu > Variable Action > Select RandomVariable item in cobobox

Properties

Object Name:

  • Name of the object in BI
  • Authorized names are made using the letters of the alphabet and numbers, except the first letter. Use of “_” and space is not allowed.
  • It is not allowed to use the names in the Pane Variable

Current Value:

  • It is a float value which can be used as a start point in an analysis
  • When it changes, the PDF and CDF according to this value can be seen in rows 16 and 17, respectively.

q:

  • It is a float value between 0 and 1 that represents the CDF of the probabilistic distribution and the inverse CDF for this value that it is showed in row 18

Distribution Type:

  • Probability distribution of the random variable
  • Probability distribution properties are defined by the parameters inside the parentheses
  • A probability distribution object may have six input parameters, the number of which is equal to the number of parameters in parentheses
  • If a probabilistic distribution object has two parameters in parentheses, only parameters 1 and 2 will be active for it and other parameters will be ignored
  • For example, in the normal distribution, parameter 1 is the mean and parameter 2 is the standard deviation

Parameter 1:

  • The first parameter of probability distribution that can be seen in the parentheses

Parameter 2:

  • The second parameter of probability distribution that can be seen in the parentheses

Parameter 3:

  • The first parameter of probability distribution that can be seen in the parentheses

Parameter 4:

  • The third parameter of probability distribution that can be seen in the parentheses

Parameter 5:

  • The fourth parameter of probability distribution that can be seen in the parentheses

Parameter 6:

  • The fifth parameter of probability distribution that can be seen in the parentheses

Coefficient Of Variation:

  • Coefficient of variation of the probability distribution

Mean:

  • Mean of the probability distribution

Standard Deviation:

  • Standard deviation of the probability distribution

Skew:

  • Skewness of the probability distribution

Kurtosis:

  • Kurtosis of the probability distribution

PDF:

  • PDF value of the current value applied in row 2

CDF:

  • CDF value of the current value applied in row 2

Inverse CDF:

  • Inverse CDF value of the value applied in row 3

 Probability Distribution Type:

  • 1. Normal
  • 2. Exponential
  • 3. Gamma
  • 4. Uniform
  • 5. Lognormal
  • 6. Weibull
  • 7. Rayleigh
  • 8. Laplace
  • 9. Beta
  • 10. Maximum Gumbel Distribution
  • 11. Minimum Gumbel Distribution
  • 12. Chi2
  • 13. T distribution