Pareto (Type I) distribution.
JavaScript
2
1
Apache License 2.0
This package provides functions for working with the Pareto (Type I) distribution, a probability distribution commonly used to model the distribution of wealth, city populations, and other phenomena with a "long tail." It's part of the stdlib JavaScript library and is designed for developers working on statistical analysis, data modeling, or scientific computing in JavaScript or Node.js environments.
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Support the dependencies of stdlib-js/stats-base-dists-pareto-type1
Pareto (Type I) distribution cumulative distribution function (CDF).
Pareto (Type I) distribution constructor.
Pareto (Type I) distribution differential entropy.
Pareto (Type I) distribution excess kurtosis.
Natural logarithm of the cumulative distribution function (CDF)for a Pareto (Type I) distribution.
Natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.
Pareto (Type I) distribution expected value.
Pareto (Type I) distribution median.
Pareto (Type I) distribution mode.
Pareto distribution (Type I) probability density function (PDF).
Pareto (Type I) distribution quantile function.
Pareto (Type I) distribution skewness.
Pareto (Type I) distribution standard deviation.
Pareto (Type I) distribution variance.
Define a read-only property.
Test if an object has a specified property.
Test if a value is a function.
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.
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.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of 1+x.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-base-dists-pareto-type1
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