actuarial science
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English[edit]
Noun[edit]
actuarial science (uncountable)
- (applied mathematics, insurance, finance) The discipline within applied mathematics dealing with risk assessment and the modelling of uncertainty; the rigorous application of mathematical and statistical methods to assess risk, in industries including insurance and finance.
- 2007, Philip J. Boland, Statistical and Probabilistic Methods in Actuarial Science[1], Taylor & Francis (CRC Press: Chapman & Hall), page 221:
- In actuarial science alone the theory[of generalized linear models] has been used to model problems dealing with premium rating, mortality, multiple state models and claims reserving.
- 2014, Luis Nieto-Barajas, Enrique de Alba, “14: Bayesian Regression Models”, in Edward W. Frees, Richard A. Derrig, Glenn Meyers, editors, Predictive Modeling Applications in Actuarial Science: Volume 1, Cambridge University Press, page 334:
- The use of Bayesian concepts and techniques in actuarial science dates back to Whitney (1918) who laid the foundations for what is now called empirical Bayes credibility.
- 2015, Arthur Charpentier, Computational Actuarial Science with R[2], Taylor & Francis (CRC Press: Chapman & Hall), page xvii:
- This book aims to provide a broad introduction to computational aspects of actuarial science in the R environment. We assume that the reader is either learning or is familiar with actuarial science.
Translations[edit]
discipline within applied mathematics dealing with risk assessment; practice of applying mathematical and statistical methods to assess risk
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