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- "random variables with identical cdf are isomorphic" +expected value |
make it clear that our random variables are real-valued, unless otherwise specified |
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Mathematically, a random variable is defined as a [[measurable function]] from a [[probability space]] to some [[measurable space]].
This measurable space is usually taken to be the [[real number]]s with the [[Borel algebra|Borel σ-algebra]], and we will always assume this in this encyclopedia, unless otherwise specified.
If a
Recording all these probabilities of ouput ranges of a real-valued random variable ''X'' yields the [[probability distribution]] of ''X''. The probability distribution "forgets" about the particular probability space used to define ''X'' and only records the probabilities of various values of ''X''. Such a probability distribution can always be captured by its [[cumulative distribution function]] and sometimes also using a [[probability density function]].
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