FunLog++ introduction - glossary - language - library - special - semiknown - dynamic
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Semiknown Values (6)
Examples with Normal Distributions

 
FunLog++ message
Explanation
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

 
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FunLog++introduction - glossary - language - library - semiknown - dynamic
Last modification: B. Pohl 22.August 2000 / 07.November 2000