mHG definition:
mHG(lambdas) = min over 1 <= n <= N Of HGT (b_n(lambdas); N, B, n)
Where HGT Is the hypergeometric tail:
HGT(b; N, B, n) = Probability(X >= b)
And:
b_n = sum over 1 <= i <= n Of lambdas[i]
mHG definition:
mHG(lambdas) = min over 1 <= n <= N Of HGT (b_n(lambdas); N, B, n)
Where HGT Is the hypergeometric tail:
HGT(b; N, B, n) = Probability(X >= b)
And:
b_n = sum over 1 <= i <= n Of lambdas[i]
01 Syntax
02 Properties
03 Members
the statistic itself
the index For which it was obtained
(Short For b_n) - sum over 1 <= i <= n Of lambdas[i]