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The theory of statistics, like other scientific theories, can be divided into three fairly distinct sections; they are (1) the foundations of the theory, (2) the superstructure, and (3) the principles of application. It is, of course, possible to divide the subject in different ways; for example, the word ‘methodology’ is sometimes used to cover part of (2) and (3). But I find it helpful in thinking about the subject to make the division that I have indicated.It is my purpose to show that actuarial science is essentially a particular application of the theory of statistics, that there is nothing very special about its superstructure and that in its application to practical affairs the universal principles apply. But I first want to make it clear that while I include the combination of compound interest functions with other actuarial functions as part of actuarial science I do not regard finance and investment as part of actuarial science proper. While treating finance and investment as a part of economics I appreciate that they represent an essential ingredient in the equipment of the practising actuary.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |