class Statistics::Multinomial
- Statistics::Multinomial
- Reference
- Object
Overview
For n independent trials each of which leads to a success for exactly one of k categories, with each category having a given fixed success probability, the multinomial distribution gives the probability of any particular combination of numbers of successes for the various categories.
Defined in:
gsl/base/statistics.crClass Method Summary
-
.sample(probs : Array(Float64)) : Array(Int32)
Given an array of probabilities probs, one per category, return the indices of the sampled categories.
Class Method Detail
Given an array of probabilities probs, one per category, return the indices of the sampled categories. Note that the probabilities do not need to be normalised.
w = Array.new(6, 1/6.0) # probabilities of a fair die
Statistics::Multinomial.sample(w) # => [1, 0, 0, 1, 5, 4]