Gumbel distribution.
JavaScript
2
0
Apache License 2.0
This project provides functions for working with the Gumbel distribution, including calculating probability density functions, cumulative distribution functions, quantiles, and various statistical properties like mean, variance, and entropy. It's designed for developers and researchers who need to perform statistical computations involving the Gumbel distribution, particularly those working in JavaScript environments who require reliable, well-tested implementations for numerical and scientific computing tasks.
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Support the dependencies of stdlib-js/stats-base-dists-gumbel
Gumbel distribution cumulative distribution function (CDF).
Gumbel distribution constructor.
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.
Define a read-only property.
Create a filled array according to a provided callback function.
Float64Array.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is NaN.
Test if a value is a number.
Test if a value is a number having a positive value.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
The Euler-Mascheroni constant.
Natural logarithm of 2.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Natural exponential function.
Gamma function.
Evaluate the natural logarithm of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Gumbel distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
Calculate the arithmetic mean of a strided array.
Calculate the standard deviation of a strided array.
Calculate the variance of a strided array.
Insert supplied variable values into a format string.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Return an array of an object's own enumerable property names.
Wrap `require` in a try/catch block.
tap-producing test harness for node and browsers
Support the repos that depend on stdlib-js/stats-base-dists-gumbel
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