Jc. Savage, EMPIRICAL EARTHQUAKE PROBABILITIES FROM OBSERVED RECURRENCE INTERVALS, Bulletin of the Seismological Society of America, 84(1), 1994, pp. 219-221
The probability p that a given fault segment will rupture within a spe
cified time T following the preceding rupture is evaluated empirically
from a sample of observed recurrence intervals for that fault segment
. All that is assumed is that the probability of rupture within the sp
ecified time interval is the same for all rupture cycles on that segme
nt. Suppose that m of the n observed recurrence intervals correspond t
o cycles in which rupture occurred within the interval T following the
preceding earthquake. The probability density that rupture in the cur
rent cycle will also fall within the interval T following the most rec
ent earthquake is then given by the beta distribution P(p\m, n) = {(n
+ 1)!/[m!(n - m)!]}p(m)(1 - p)(n - m). The best estimate of the desire
d probability p is [p] = (m + 1)/(n + 2), and a measure of the breadth
of the distribution is the standard deviation sigma = [[p] (I - [p])/
(n + 3)]1/2. Because it is unlikely that the number n of observed recu
rrence intervals will be much greater than 10, the probability general
ly will not be defined more closely than +/-0.2. Moreover, increasing
n decreases the uncertainty only very slowly.