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README.md |
Logarithm of Cumulative Distribution Function
Gumbel distribution logarithm of cumulative distribution function.
The cumulative distribution function for a Gumbel random variable is
where mu
is the location parameter and beta > 0
is the scale parameter.
Usage
var logcdf = require( '@stdlib/stats/base/dists/gumbel/logcdf' );
logcdf( x, mu, beta )
Evaluates the logarithm of the cumulative distribution function (CDF) for a Gumbel distribution with parameters mu
(location parameter) and beta
(scale parameter).
var y = logcdf( 10.0, 0.0, 3.0 );
// returns ~-0.036
y = logcdf( -2.0, 0.0, 3.0 );
// returns ~-1.948
y = logcdf( 0.0, 0.0, 1.0 );
// returns ~-1
If provided NaN
as any argument, the function returns NaN
.
var y = logcdf( NaN, 0.0, 1.0 );
// returns NaN
y = logcdf( 0.0, NaN, 1.0 );
// returns NaN
y = logcdf( 0.0, 0.0, NaN );
// returns NaN
If provided beta <= 0
, the function returns NaN
.
var y = logcdf( 2.0, 0.0, -1.0 );
// returns NaN
y = logcdf( 2.0, 0.0, 0.0 );
// returns NaN
logcdf.factory( mu, beta )
Returns a function for evaluating the logarithm of the cumulative distribution function of a Gumbel distribution with parameters mu
(location parameter) and beta
(scale parameter).
var mylogcdf = logcdf.factory( 0.0, 3.0 );
var y = mylogcdf( 10.0 );
// returns ~-0.036
y = mylogcdf( -2.0 );
// returns ~-1.948
Notes
- In virtually all cases, using the
logpdf
orlogcdf
functions is preferable to manually computing the logarithm of thepdf
orcdf
, respectively, since the latter is prone to overflow and underflow.
Examples
var randu = require( '@stdlib/random/base/randu' );
var logcdf = require( '@stdlib/stats/base/dists/gumbel/logcdf' );
var beta;
var mu;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = randu() * 10.0;
mu = randu() * 10.0;
beta = randu() * 10.0;
y = logcdf( x, mu, beta );
console.log( 'x: %d, µ: %d, β: %d, ln(F(x;µ,β)): %d', x.toFixed( 4 ), mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
}