Chapter

Applications in science, medicine, and operations research

in Probability

Published in print April 2012 | ISBN: 9780199588480
Published online September 2013 | e-ISBN: 9780191777943 | DOI: https://dx.doi.org/10.1093/actrade/9780199588480.003.0007

Series: Very Short Introductions

Applications in science, medicine, and operations research

Show Summary Details

Preview

‘Applications in science, medicine, and operations research’ applies theories of probability to a range of different subject areas. Brownian motion of particles in liquid was explained by Einstein using Gaussian law. Random number sequences generated by computers are not truly random, and are open to bias or fraud. However, Monte–Carlo simulations use the Law of Large Numbers to offset this bias. Errors in computer code itself can be solved by using the concept of majority vote. Bayes' Rule and expected utility can be used to answer complex ethical dilemmas in biomedical science. Companies can also use probability to maximise profits through optimising overbooking systems and queues.

Keywords: Brownian motion; code; expected utility; law of large numbers; random

Chapter.  4917 words.  Illustrated.

Subjects: Probability

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content. subscribe or purchase to access all content.