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  2. Law of the unconscious statistician - Wikipedia

    en.wikipedia.org/wiki/Law_of_the_unconscious...

    The 'discrete case' given above is the special case arising when X takes on only countably many values and μ is a probability measure. In fact, the discrete case (although without the restriction to probability measures) is the first step in proving the general measure-theoretic formulation, as the general version follows therefrom by an ...

  3. Zipf–Mandelbrot law - Wikipedia

    en.wikipedia.org/wiki/Zipf–Mandelbrot_law

    In probability theory and statistics, the Zipf–Mandelbrot law is a discrete probability distribution.Also known as the Pareto–Zipf law, it is a power-law distribution on ranked data, named after the linguist George Kingsley Zipf, who suggested a simpler distribution called Zipf's law, and the mathematician Benoit Mandelbrot, who subsequently generalized it.

  4. Category:Probability problems - Wikipedia

    en.wikipedia.org/wiki/Category:Probability_problems

    Download QR code; Print/export Download as PDF; Printable version; In other projects ... Pages in category "Probability problems" The following 31 pages are in this ...

  5. Logarithmic distribution - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_distribution

    In probability and statistics, the logarithmic distribution (also known as the logarithmic series distribution or the log-series distribution) is a discrete probability distribution derived from the Maclaurin series expansion

  6. Dyadic distribution - Wikipedia

    en.wikipedia.org/wiki/Dyadic_Distribution

    Download as PDF; Printable version ... distribution is a specific type of discrete probability distribution that ... A dyadic distribution is a probability ...

  7. (a,b,0) class of distributions - Wikipedia

    en.wikipedia.org/wiki/(a,b,0)_class_of_distributions

    These are also the three discrete distributions among the six members of the natural exponential family with quadratic variance functions (NEF–QVF). More general distributions can be defined by fixing some initial values of p j and applying the recursion to define subsequent values. This can be of use in fitting distributions to empirical data.

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