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Summary
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Summary

  • Distributions are objects, which are constructed from whatever parameters the distribution may have.
  • Member functions allow you to retrieve the parameters of a distribution.
  • Generic non-member functions provide access to the properties that are common to all the distributions (PDF, CDF, quantile etc).
  • Complements of probabilities are calculated by wrapping the function's arguments in a call to complement(...).
  • Functions that accept a probability can accept a complement of the probability as well, by wrapping the function's arguments in a call to complement(...).
  • Static member functions allow the parameters of a distribution to be found from other information.

Now that you have the basics, the next section looks at some worked examples.

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Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)

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