Hostname: page-component-68945f75b7-s56hc Total loading time: 0 Render date: 2024-08-06T02:18:43.763Z Has data issue: false hasContentIssue false

Actuarial science and the theory of statistics

Published online by Cambridge University Press:  11 August 2014

Get access

Extract

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.

Type
Research Article
Copyright
Copyright © Institute of Actuaries Students' Society 1952

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Andersen, E. S. (1951). The influence of the observed death-rate in measuring the exposure by sample. Trans. 13th Int. Congr. Actuaries.Google Scholar
Beard, R. E. (1950). Some experiments in the use of the incomplete gamma-function for the approximate calculation of actuarial functions. Proc. Cent. Assembly Inst. Actuaries.Google Scholar
Beard, R. E. & Perks, W. (1949). The relation between the distribution of sickness and the effect of duplicates on the distribution of deaths. J.I.A. 75, 75.Google Scholar
Johnson, N. L. & Tetley, H. (1949). Statistics. An Intermediate Text-book. Cambridge University Press.Google Scholar
Kolmogorov, A. (1933). Grundbegriffe der Wahrscheinlichkeitsrechnung. Berlin.CrossRefGoogle Scholar
Pearson, Karl (1911). The Grammar of Science, 3rd ed. London: A. and C. Black.Google Scholar
Perks, W. (1947). Some observations on inverse probability including a new indifference rule. J.I.A. 73, 285.Google Scholar
Solomon, L. (1948). Statistical estimation. J.S.S. 7, 144 and 213.Google Scholar
Stoodley, C. L. (1932). The effect of a falling rate of interest on the values of certain actuarial functions. T.F.A. 14, 137.Google Scholar
Wishart, J. (1947). The variance ratio test in statistics. J.S.S. 6, 173.Google Scholar