WOLFRAM SYSTEM MODELER
DensitiesDemonstrates how to compute distribution densities (= Probability Density Function) |
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Diagram
Wolfram Language
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SystemModel["Modelica.Blocks.Examples.Noise.Densities"]
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Information
This information is part of the Modelica Standard Library maintained by the Modelica Association.
This example demonstrates how to compute the probability density functions (pdfs) of various distributions. In the following diagram simulations results for the uniform, normal, and Weibull distribution are shown. The outputs of the blocks are the pdfs that are plotted over one of the inputs:
Outputs (3)
| uniformDensity_y |
Default Value: uniformDensity.y Type: Real |
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| normalDensity_y |
Default Value: normalDensity.y Type: Real |
| weibullDensity_y |
Default Value: weibullDensity.y Type: Real |
Components (6)
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uniformDensity |
Type: UniformDensity Description: Calculates the density of a uniform distribution |
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clock |
Type: ContinuousClock Description: Generate current time signal |
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const |
Type: Constant Description: Generate constant signal of type Real |
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add |
Type: Add Description: Output the sum of the two inputs |
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normalDensity |
Type: NormalDensity Description: Calculates the density of a normal distribution |
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weibullDensity |
Type: WeibullDensity Description: Calculates the density of a Weibull distribution |
Revisions
| Date | Description | ||
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| June 22, 2015 |
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