Truncated normal distribution.
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> Truncated normal distribution.
``bash`
npm install @stdlib/stats-base-dists-truncated-normal
`javascript`
var truncatedNormal = require( '@stdlib/stats-base-dists-truncated-normal' );
#### truncatedNormal
Truncated normal distribution.
`javascript`
var dist = truncatedNormal;
// returns {...}
The namespace contains the following distribution functions:
- [pdf( x, a, b, mu, sigma )][@stdlib/stats/base/dists/truncated-normal/pdf]: truncated normal distribution probability density function (PDF).
The namespace contains the following functions for calculating distribution properties:
The namespace contains a constructor function for creating a [truncated normal][truncated-normal-distribution] distribution object.
`javascript
var truncatedNormal = require( '@stdlib/stats-base-dists-truncated-normal' );
/*
* Let's consider an example where we're modeling the heights of astronauts.
* We'll use the truncated normal distribution to model this scenario, considering constraints on their minimum and maximum heights.
* The distribution has parameters: a (minimum height), b (maximum height), mu (location parameter), and sigma (scale parameter).
* In this example, we'll assume a = 150 (minimum height), b = 200 (maximum height), mu = 175 (location parameter), and sigma = 10 (scale parameter).
*/
var a = 150.0;
var b = 200.0;
var mu = 175.0;
var sigma = 10.0;
// Calculate the probability density function (PDF) for a height of 180 cm:
console.log( truncatedNormal.pdf( 180, a, b, mu, sigma ) );
// => ~0.036
`
*
This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].
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