📊 Generate random variates from the Type I Pareto distribution for statistical modeling and analysis in JavaScript and Node.js environments.
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Updated
Mar 28, 2026 - JavaScript
📊 Generate random variates from the Type I Pareto distribution for statistical modeling and analysis in JavaScript and Node.js environments.
Generate pseudorandom numbers drawn from a lognormal distribution.
Generate pseudorandom numbers drawn from a Fréchet distribution.
Fill a strided array with pseudorandom numbers drawn from a Weibull distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Create an array containing pseudorandom numbers drawn from a negative binomial distribution.
Create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.
Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.
Fill a strided array with pseudorandom numbers drawn from a Student's t distribution.
Create a function for generating pseudorandom values drawn from a ternary PRNG.
Fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.
Create an array containing pseudorandom numbers drawn from a Cauchy distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Constructor for creating arrays filled with pseudorandom values drawn from a binary PRNG.
Generate pseudorandom numbers drawn from a hypergeometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Create an iterator for generating pseudorandom numbers drawn from a Lévy distribution.
Cauchy distributed pseudorandom numbers.
Triangular distributed pseudorandom numbers.
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