Continuous probability distribution/Related Articles: Difference between revisions

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Revision as of 15:40, 11 January 2010

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

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  • Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values. [e]
  • Entropy of a probability distribution [r]: A number that describes the degree of uncertainty or disorder the distribution represents. [e]
  • Exponential distribution [r]: Class of continuous probability distributions that describe the times between events in a Poisson process, i.e. a process in which events occur continuously and independently at a constant average rate. [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]
  • Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean. [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]