Probability Distribution
In a given period of n years, the probability of a given number k of events of a given return interval T is given by the binomial distribution as follows. In the limit of long periods (as n grows large), this converges to the Poisson distribution.
Take
where
- T is return interval
- n is number of years on record;
- m is the number of recorded occurrences of the event being considered
If the probability of an event occurring is p, then the probability of the event not occurring is . The binomial distribution can be used to find the probability of occurrence of an event r times in a period of n years.
Read more about this topic: Return Period
Famous quotes containing the words probability and/or distribution:
“The probability of learning something unusual from a newspaper is far greater than that of experiencing it; in other words, it is in the realm of the abstract that the more important things happen in these times, and it is the unimportant that happens in real life.”
—Robert Musil (18801942)
“The man who pretends that the distribution of income in this country reflects the distribution of ability or character is an ignoramus. The man who says that it could by any possible political device be made to do so is an unpractical visionary. But the man who says that it ought to do so is something worse than an ignoramous and more disastrous than a visionary: he is, in the profoundest Scriptural sense of the word, a fool.”
—George Bernard Shaw (18561950)