Discrete probability distribution/Related Articles: Difference between revisions

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Revision as of 15:00, 11 January 2010

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A list of Citizendium articles, and planned articles, about Discrete probability distribution.
See also changes related to Discrete probability distribution, or pages that link to Discrete probability distribution or to this page or whose text contains "Discrete probability distribution".

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  • Conditioning (probability) [r]: Conditional probabilities, conditional expectations and conditional distributions are treated on three levels. [e]
  • Continuous probability distribution [r]: Probability distribution where variables can take on arbitrary values in a continuum. [e]
  • Entropy of a probability distribution [r]: A number that describes the degree of uncertainty or disorder the distribution represents. [e]
  • Measure theory [r]: Generalization of the concepts of length, area, and volume, to arbitrary sets of points not composed of line segments or rectangles. [e]
  • Poisson distribution [r]: a probability distribution that is typically used to model the number of independent events (occurring at a constant average rate) that fall within a stated interval. [e]
  • Probability distribution [r]: Function of a discrete random variable yielding the probability that the variable will have a given value. [e]
  • Sigma algebra [r]: A formal mathematical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory. [e]
  • Zipf distribution [r]: Observation that states that, in a population consisting of many different types, the proportion belonging to the nth most common type is approximately proportional to 1/n. [e]