SE1 - SE2 - SE3 - SE4 - SE5 - SE6 - SE7 - SE8 - SE9 - SE10 |
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moments([0,1]) < X | Gauss normal distribution N(0,1)
with mean 0 and variance 1 is represented in FunLog++ as moments([0,1].
We now can test which part of the area under curve is below some value
X. The FunLog++ interpreter calculates the probability for an X value according
to the probability density function of normal distributions. The message
moments([0,1]<X
relates a stochastic
distribution (with mean 0 and variance 1) to some value X. The FunLog++
interpreter evaluates this term and generates an appropriate probability
depending on X. Click on the message link to see the result of this calculation
which is displayed.
if X = 0 then area = 0.5000 if X = 1 then area = 0.8432 if X = 2 then area = 0.9800 if X = 3 then area = 0.9992 |
moments([0,1])
- moments([0,1]) |
This message denotes the difference of two stochastic variables which is displayed as (moments([0,2])). |
X = moments([0,1]),
X - X |
This message denotes the same difference like in the previous example but now FunLog++ can recognize, that the two operands are identical. Thus the result is displayed as 0. |
FunLog++introduction - glossary - language - library - semiknown - dynamic |
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