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  1. ReliaSim Overview
  2. Structure
  3. Node Types
  4. Constraints
  5. Interrupts
  6. Distributions

Normal Distribution

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Last updated 7 months ago

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The Normal distribution is a continuous probability distribution. It is used to model variables that have an expected value and a known standard deviation. Although it can sometimes be useful, it is important to note that a Normal distribution can produce negative values. This behavior is detrimental for modeling the time between events.

The Normal distribution has two parameters:

  • Parameter 1 is the expected value or mean.

  • Parameter 2 is the standard deviation.

  • Parameters 3 & 4 are not used.

The example below shows the probability density function for 3 Normal distributions. Each distribution has a parameter 1 value of 1.0 and a range of parameter 2 values from 0.25 to 1.0.

Normal Probability Distribution Function