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An Analysis of the Randomness of Air Accidents

Published online by Cambridge University Press:  04 July 2016

Ronald E. Miller
Affiliation:
University of Pennsylvania
Richard E. Quandt
Affiliation:
Princeton University

Extract

In this paper we examine the hypothesis that aeroplane accidents are grouped, ie that individual accidents are not randomly spaced in time. While it has not been possible to find any explicit statements of the non-randomness hypothesis, it seems to be a widely-held belief. In its least precise form, the belief is that as soon as there is one aeroplane accident, there will be “several more within a relatively short period of time”. Clearly one does not expect equal or even near-equal spacing between aircraft accidents; the interesting question is what amount of bunching leads to the rejection of randomness as an adequate description of the underlying distribution. And if non-randomness is encountered in practice, how is it explained or interpreted?

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 1967

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References

1.Air Safety: A Study of Ethics, Economics and Attitudes. Connecticut General Flight Forum, Winter-Spring, 1964.Google Scholar
2.Civil Aeronautics Board. Handbook of Airline Statistics, 1963 Edition. US Government Printing Office, 1964.Google Scholar
3.Fraser, D. A. S.Nonparametric Methods in Statistics. John Wiley and Sons, 1957.Google Scholar
4.Goldfield, S. M., Quandt, R. E. and Trotter, H. F.Maximization by Quadratic Hill-Climbing. Econometric Research Program, Princeton University, Research Memorandum No. 72, 1965; also in Econometrica, to be published.Google Scholar
5.Granger, C. W. G. in association with Hatanaka, M.Spectral Analysis of Economic Time Series. Princeton University Press, 1964.Google Scholar
6.Quandt, R. E.Old and New Methods of Estimation and the Pareto Distribution. Metrika, Vol. 10, pp. 5582, 1966.Google Scholar
7.Quandt, R. E.Statistical Discrimination Among Alternative Hypotheses and Some Economic Regularities. Journal of Regional Science, Vol. 5, No. 2, Winter, 1964.CrossRefGoogle Scholar
8.Quandt, R. E.On the Size Distribution of Firms. American Economic Review, Vol. LVI, No. 3, June 1966.Google Scholar
9.Savage, L. J.Foundations of Statistics. John Wiley and Sons, 1954.Google Scholar