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A JavaScript model of the normal (Gaussian) distribution

Package Exports

  • gaussian

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (gaussian) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

gaussian

A JavaScript model of the Normal (or Gaussian) distribution.

API

Creating a Distribution

var gaussian = require('gaussian');
var distribution = gaussian(mean, variance);

Properties

  • mean: the mean (μ) of the distribution
  • variance: the variance (σ^2) of the distribution
  • standardDeviation: the standard deviation (σ) of the distribution

Probability Functions

  • pdf(x): the probability density function, which describes the probability of a random variable taking on the value x
  • cdf(x): the cumulative distribution function, which describes the probability of a random variable falling in the interval (−∞, x]
  • ppf(x): the percent point function, the inverse of cdf

Combination Functions

  • mul(d): returns the product distribution of this and the given distribution
  • div(d): returns the quotient distribution of this and the given distribution