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README.md |
Quantile Function
Fréchet distribution quantile function.
The quantile function for a Fréchet random variable is
where alpha > 0
is the shape, s > 0
the scale, and m
the location parameter.
Usage
var quantile = require( '@stdlib/stats/base/dists/frechet/quantile' );
quantile( p, alpha, s, m )
Evaluates the quantile function for a Fréchet distribution with shape alpha
, scale s
, and location m
at a probability p
.
var y = quantile( 0.8, 2.0, 3.0, 5.0 );
// returns ~11.351
y = quantile( 0.1, 1.0, 2.0, -4.0 );
// returns ~-3.131
y = quantile( 0.3, 2.0, 1.0, -1.0 );
// returns ~-0.089
If provided a probability p
outside the interval [0,1]
, the function returns NaN
.
var y = quantile( 1.9, 2.0, 2.0, 0.0 );
// returns NaN
y = quantile( -0.1, 2.0, 2.0, 0.0 );
// returns NaN
If provided NaN
as any argument, the function returns NaN
.
var y = quantile( NaN, 1.0, 1.0, 0.0 );
// returns NaN
y = quantile( 0.9, NaN, 1.0, 0.0 );
// returns NaN
y = quantile( 0.9, 1.0, NaN, 0.0);
// returns NaN
y = quantile( 0.9, 1.0, 1.0, NaN );
// returns NaN
If provided alpha <= 0
, the function returns NaN
.
var y = quantile( 0.1, -0.1, 1.0, 1.0 );
// returns NaN
y = quantile( 0.1, 0.0, 1.0, 1.0 );
// returns NaN
If provided s <= 0
, the function returns NaN
.
var y = quantile( 0.3, 1.0, -1.0, 1.0 );
// returns NaN
y = quantile( 0.3, 1.0, 0.0, 1.0 );
// returns NaN
quantile.factory( alpha, s, m )
Returns a function for evaluating the quantile function of a Fréchet distribution with shape alpha
, scale s
, and location m
.
var myQuantile = quantile.factory( 3.0, 3.0, 5.0 );
var y = myQuantile( 0.7 );
// returns ~9.23
y = myQuantile( 0.2 );
// returns ~7.56
Examples
var randu = require( '@stdlib/random/base/randu' );
var quantile = require( '@stdlib/stats/base/dists/frechet/quantile' );
var alpha;
var m;
var s;
var p;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
alpha = randu() * 10.0;
p = randu();
s = randu() * 10.0;
m = randu() * 10.0;
y = quantile( p, alpha, s, m );
console.log( 'x: %d, α: %d, s: %d, m: %d, Q(p;α,s,m): %d', p.toFixed( 4 ), alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
}