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discrete density function (Algorithm)

Let $ X$ be a discrete random variable. The function $ f_X\colon\mathbb{R} \to [0,1]$ defined as $ f_X(x)=P[X=x]$ is called the discrete probability function of $ X$. Sometimes the syntax $ p_X(x)$ is used, to mark the difference between this function and the continuous density function.

If $ X$ has discrete density function $ f_X(x)$, it is said that the random variable $ X$ has the distribution or is distributed $ f_X(x)$, and this fact is denoted as $ X \sim f_X(x)$.

Discrete density functions are required to satisfy the following properties:

  • $ f_X(x) \geq 0$ for all $ x$
  • $ \sum_{x}f_X(x) = 1$



"discrete density function" is owned by drini. [ full author list (3) | owner history (3) ]
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See Also: probability distribution function

Other names:  discrete probability function
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Cross-references: distribution, random variable, continuous density function, function, discrete random variable
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This is version 11 of discrete density function, born on 2001-10-25, modified 2003-12-13.
Object id is 486, canonical name is DiscreteDensityFunction.
Accessed 5301 times total.

Classification:
AMS MSC60E99 (Probability theory and stochastic processes :: Distribution theory :: Miscellaneous)

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