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README.md |
Variance
Negative binomial distribution variance.
The variance for a negative binomial random variable is
where r
is the number of successes until experiment is stopped and p
is the success probability in each trial. The random variable X
denotes the number of failures until the r
success is reached.
Usage
var variance = require( '@stdlib/stats/base/dists/negative-binomial/variance' );
variance( r, p )
Returns the variance of a negative binomial distribution with parameters r
(number of successes until experiment is stopped) and p
(success probability).
var v = variance( 100, 0.2 );
// returns ~2000.0
v = variance( 50, 0.5 );
// returns 100.0
If provided NaN
as any argument, the function returns NaN
.
var v = variance( NaN, 0.5 );
// returns NaN
v = variance( 20, NaN );
// returns NaN
If provided a r
which is not a positive number, the function returns NaN
.
var v = variance( -2.0, 0.5 );
// returns NaN
If provided a success probability p
outside of [0,1]
, the function returns NaN
.
var v = variance( 20, -1.0 );
// returns NaN
v = variance( 20, 1.5 );
// returns NaN
Examples
var randu = require( '@stdlib/random/base/randu' );
var variance = require( '@stdlib/stats/base/dists/negative-binomial/variance' );
var v;
var i;
var r;
var p;
for ( i = 0; i < 10; i++ ) {
r = randu() * 100;
p = randu();
v = variance( r, p );
console.log( 'r: %d, p: %d, Var(X;r,p): %d', r, p.toFixed( 4 ), v.toFixed( 4 ) );
}