The normal (or Gaussian) distribution is a stochastic model commonly used for estimating sensor uncertainty. The law is given by:
Where:
-
is the standard deviation (square root of the variance)
-
is the center of the gaussian
Here are some examples of normal distributions:
As the sum of probabilities must be equal to one thus the following surface is equal to one:
68, 95 and 99.7% of the surface is included in respectively ,
and
:
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