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{{alias}}( k, r, p )
Evaluates the quantile function for a negative binomial distribution with
number of successes until experiment is stopped `r` and success probability
`p` at a probability `k`.
If provided a `k` outside of `[0,1]`, the function returns `NaN`.
If provided `NaN` as any argument, the function returns `NaN`.
If provided a `r` which is not a positive number, the function returns
`NaN`.
If provided a success probability `p` outside of `[0,1]`, the function
returns `NaN`.
Parameters
----------
k: number
Input probability.
r: number
Number of successes until experiment is stopped.
p: number
Success probability.
Returns
-------
out: number
Evaluated quantile function.
Examples
--------
> var y = {{alias}}( 0.9, 20.0, 0.2 )
106
> y = {{alias}}( 0.9, 20.0, 0.8 )
8
> y = {{alias}}( 0.5, 10.0, 0.4 )
14
> y = {{alias}}( 0.0, 10.0, 0.9 )
0
> y = {{alias}}( 1.1, 20.0, 0.5 )
NaN
> y = {{alias}}( -0.1, 20.0, 0.5 )
NaN
> y = {{alias}}( 21.0, 15.5, 0.5 )
12
> y = {{alias}}( 5.0, 7.4, 0.4 )
10
> y = {{alias}}( 0.5, 0.0, 0.5 )
NaN
> y = {{alias}}( 0.5, -2.0, 0.5 )
NaN
> y = {{alias}}( 0.3, 20.0, -1.0 )
NaN
> y = {{alias}}( 0.3, 20.0, 1.5 )
NaN
> y = {{alias}}( NaN, 20.0, 0.5 )
NaN
> y = {{alias}}( 0.3, NaN, 0.5 )
NaN
> y = {{alias}}( 0.3, 20.0, NaN )
NaN
{{alias}}.factory( r, p )
Returns a function for evaluating the quantile function of a negative
binomial distribution with number of successes until experiment is stopped
`r` and success probability `p`.
Parameters
----------
r: number
Number of successes until experiment is stopped.
p: number
Success probability.
Returns
-------
quantile: Function
Quantile function.
Examples
--------
> var myQuantile = {{alias}}.factory( 10.0, 0.5 );
> var y = myQuantile( 0.1 )
5
> y = myQuantile( 0.9 )
16
See Also
--------
|
