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Download a pdf copy of this help file here |
|
Download a pdf copy of this help file here |
The Inverse Hypergeometric distribution was derived in the previous
topic as a distribution of variability, in predicting the number of
failures one will have before the sth success. However, it can equally be derived
as a distribution of uncertainty about the number of failures x
= n - s one must have had if one knows s, M,
D using Bayes'
Theorem and a Uniform
(i.e. uninformed) prior on x. So:
n = s + VoseInvHypergeo(s,D,M)
