statistics v0.4.0 Statistics.Distributions.Binomial
Binomial distribution.
This models the expected outcome of a number of binary trials, each with known probability, (often called a Bernoulli trial)
Summary
Functions
The cumulative density function
The probability mass function
The percentile-point function
Draw a random number from a t distribution with specified degrees of freedom
Functions
The cumulative density function
Examples
iex> Statistics.Distributions.Binomial.cdf(4, 0.5).(2)
0.6875
Specs
pmf(non_neg_integer, number) :: (... -> any)
The probability mass function
Examples
iex> Statistics.Distributions.Binomial.pmf(4, 0.5).(2)
0.375
Specs
ppf(non_neg_integer, number) :: (... -> any)
ppf(non_neg_integer, number) :: (... -> any)
The percentile-point function
Examples
iex> Statistics.Distributions.Binomial.ppf(10, 0.5).(0.5)
5
Specs
rand(non_neg_integer, number) :: non_neg_integer
Draw a random number from a t distribution with specified degrees of freedom
Uses the rejection sampling method
Examples
iex> Statistics.Distributions.Binomial.rand(10, 0.5)
5.0