Abstract Probability Function: Difference between revisions
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* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
** an [[Empirical Probability Function]]. | ** an [[Empirical Probability Function]]. | ||
** a [[Heuristic Probability Function]], | ** a [[Heuristic Probability Function]], | ||
* <B>See:</B> [[Probability Distribution]]. | * <B>See:</B> [[Probability Distribution]]. | ||
Latest revision as of 20:27, 20 December 2023
An Abstract Probability Function is a probability function that is an abstract function.
- Example(s):
- any Axiomatic Probability Function, such as:
- [math]\displaystyle{ P(\Omega,{H,T}) \rightarrow 1.0 }[/math], for a heads or tail event in a P(Coin Toss Experiment.
- [math]\displaystyle{ P(\Omega,{H}) \rightarrow 0.5 }[/math], for Heads Event [math]\displaystyle{ E }[/math] in a Fair Coin Toss Experiment.
- …
- any Axiomatic Probability Function, such as:
- Counter-Example(s):
- See: Probability Distribution.