The distribution of the logarithm of survival times when the true law is exponential
- 15 May 1942
- journal article
- research article
- Published by Cambridge University Press (CUP) in Epidemiology and Infection
- Vol. 42 (3), 328-333
- https://doi.org/10.1017/s0022172400035518
Abstract
In a recent paper Withell (1942) has shown that for a wide range of microorganisms and disinfectants or poisons the logarithms of the survival times are approximately normally distributed. Even when the number of survivors is adequately represented by an exponential function of the time (e−kt) say, the former hypothesis still gives approximately correct results. This suggests that in many cases the data are not good enough to distinguish between the two hypotheses (1) of a constant force of mortality k and (2) of a normal distribution of the logarithms of survival times. It is worth while, therefore, to examine the form of the distribution of the logarithms of survival times when the exponential law is true, and to see how nearly normal it is. We shall show that except for the position of the mean, this distribution is independent of k.This publication has 2 references indexed in Scilit:
- The Significance of the Variation in Shape of Time-Survivor CurvesEpidemiology and Infection, 1942
- Limiting forms of the frequency distribution of the largest or smallest member of a sampleMathematical Proceedings of the Cambridge Philosophical Society, 1928