Gumbel distribution constructor.
JavaScript
2
0
Apache License 2.0
This project provides a constructor for creating Gumbel distribution objects, which are used in statistics for modeling extreme value distributions. It's part of the stdlib library and is intended for developers working with statistical analysis and numerical computing in JavaScript, particularly those needing to work with extreme value theory or perform statistical modeling involving maximum/minimum values.
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Support the dependencies of stdlib-js/stats-base-dists-gumbel-ctor
Test if a value is NaN.
Test if a value is a number.
Test if a value is a number having a positive value.
Gumbel distribution cumulative distribution function (CDF).
Gumbel distribution entropy.
Gumbel distribution excess kurtosis.
Gumbel distribution logarithm of cumulative distribution function.
Gumbel distribution logarithm of probability density function (PDF).
Gumbel distribution mean.
Gumbel distribution median.
Gumbel distribution moment-generating function (MGF).
Gumbel distribution mode.
Gumbel distribution probability density function (PDF).
Gumbel distribution quantile function.
Gumbel distribution skewness.
Gumbel distribution standard deviation.
Gumbel distribution variance.
Insert supplied variable values into a format string.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Format an error message for production.
Float64Array.
Test if an object has a specified property.
Test if a value is a function.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Test if a double-precision floating-point numeric value is NaN.
Uniformly distributed pseudorandom numbers.
tap-producing test harness for node and browsers
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Benchmark harness.
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