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Applied probability

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Title: Applied probability  
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Subject: Assemble-to-order system, Markov additive process, Population process, Regenerative process, Applied probability
Collection: Applied Probability
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Applied probability

Applied probability is the application of probability theory to statistical problems and other scientific and engineering domains.

Contents

  • Scope 1
  • See also 2
  • Further reading 3
  • External links 4

Scope

Much research involving probability is done under the auspices of applied probability. However, while such research is motivated (to some degree) by applied problems, it is usually the mathematical aspects of the problems that are of most interest to researchers (as is typical of applied mathematics in general).

Applied probabilists are particularly concerned with the application of stochastic processes, and probability more generally, to the natural, applied and social sciences, including biology, physics (including astronomy), chemistry, computer science and information technology, and economics.

Another area of interest is in engineering: particularly in areas of uncertainty, risk management, Probabilistic design, and Quality assurance.

See also

Further reading

  • Baeza-Yates, R. (2005) Recent advances in applied probability, Springer. ISBN 0-387-23378-4
  • Blake, I.F. (1981) Introduction to Applied Probability, Wiley. ISBN 0-471-06082-8

External links

  • The Applied Probability Trust.
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