Editing Applied probability

{{Short description|Application of probability theory}}

'''Applied probability''' is the application of [[probability theory]] to [[statistics|statistical]] problems and other scientific and [[engineering]] domains.

==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 [[mathematics|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 process]]es, and probability more generally, to the natural, applied and social sciences, including [[biology]], [[physics]] (including [[astronomy]]), [[chemistry]], [[medicine]], [[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]].

==History==
Having initially been defined at a symposium of the [[American Mathematical Society]] in the later 1950s, the term "applied probability" was popularized by [[M. S. Bartlett|Maurice Bartlett]] through the name of a [[Methuen Publishing|Methuen]] monograph series he edited, ''Applied Probability and Statistics''. The area did not have an established outlet until 1964, when the [[Journal of Applied Probability]] came into existence through the efforts of [[Joe Gani]].<ref>{{cite journal|title=A Conversation with Joe Gani|last=Heyde|first=Chris|authorlink=Chris Heyde|work=[[Statistical Science]]|volume=10|issue=2|pages=214–230|year=1995|url=https://projecteuclid.org/journals/statistical-science/volume-10/issue-2/A-Conversation-with-Joe-Gani/10.1214/ss/1177010039.pdf}}</ref>

==See also==

*Areas of application:
**[[Ruin theory]]
**[[Statistical physics]]
**[[Stoichiometry]] and modelling [[chemical reaction]]s
**[[Ecology]], particularly population modelling
**[[Evolution|Evolutionary biology]]
**[[Optimization (computer science)|Optimization]] in [[computer science]]
**[[Telecommunications]]
**[[Reliability engineering]]
**[[Quality control]]
**[[Black–Scholes|Options pricing]] in [[economics]]
**[[Ewens's sampling formula]] in [[population genetics]]
**[[Operations research]]
**[[Gaming mathematics]]
*[[Stochastic process]]es:
**[[Markov chain]]
**[[Poisson process]]
**[[Brownian motion]] and other [[diffusion (mathematics)|diffusion process]]es
**[[Queueing theory]]
**[[Renewal theory]]
* Additional information and resources
**[[Applied Probability Trust]]
**[[INFORMS]] Institute for Operations Research and the Management Sciences

==References==
{{Reflist}}

==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==
* [http://www.appliedprobability.org/ The Applied Probability Trust].

[[Category:Applied probability| ]]