项目作者: stdlib-js

项目描述 :
Pareto (Type I) distribution.
高级语言: Makefile
项目地址: git://github.com/stdlib-js/stats-base-dists-pareto-type1.git
创建时间: 2021-06-15T17:22:13Z
项目社区:https://github.com/stdlib-js/stats-base-dists-pareto-type1

开源协议:Apache License 2.0

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Pareto (Type I)

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

Pareto (Type I) distribution.



## Installation

bash npm install @stdlib/stats-base-dists-pareto-type1

Alternatively,

- To load the package in a website via a script tag without installation and bundlers, use the [ES Module][es-module] available on the [esm][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [deno][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [umd][umd-url] branch (see [README][umd-readme]).

The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.



## Usage

javascript var pareto1 = require( '@stdlib/stats-base-dists-pareto-type1' );

#### pareto1

Pareto (Type I) distribution.

javascript var dist = pareto1; // returns {...}

The namespace contains the following distribution functions:





- [cdf( x, alpha, beta )][@stdlib/stats/base/dists/pareto-type1/cdf]: Pareto (Type I) distribution cumulative distribution function.
- [logcdf( x, alpha, beta )][@stdlib/stats/base/dists/pareto-type1/logcdf]: evaluate the natural logarithm of the cumulative distribution function for a Pareto (Type I) distribution.
- [logpdf( x, alpha, beta )][@stdlib/stats/base/dists/pareto-type1/logpdf]: evaluate the natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.
- [pdf( x, alpha, beta )][@stdlib/stats/base/dists/pareto-type1/pdf]: Pareto (Type I) distribution probability density function (PDF).
- [quantile( p, alpha, beta )][@stdlib/stats/base/dists/pareto-type1/quantile]: Pareto (Type I) distribution quantile function.





The namespace contains the following functions for calculating distribution properties:





- [entropy( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/entropy]: Pareto (Type I) distribution differential entropy.
- [kurtosis( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/kurtosis]: Pareto (Type I) distribution excess kurtosis.
- [mean( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/mean]: Pareto (Type I) distribution expected value.
- [median( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/median]: Pareto (Type I) distribution median.
- [mode( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/mode]: Pareto (Type I) distribution mode.
- [skewness( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/skewness]: Pareto (Type I) distribution skewness.
- [stdev( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/stdev]: Pareto (Type I) distribution standard deviation.
- [variance( alpha, beta )][@stdlib/stats/base/dists/pareto-type1/variance]: Pareto (Type I) distribution variance.





The namespace contains a constructor function for creating a [Pareto (Type I)][pareto-distribution] distribution object.





- [Pareto1( [alpha, beta] )][@stdlib/stats/base/dists/pareto-type1/ctor]: Pareto (Type I) distribution constructor.





javascript var Pareto1 = require( '@stdlib/stats-base-dists-pareto-type1' ).Pareto1; var dist = new Pareto1( 2.0, 4.0 ); var y = dist.cdf( 3.5 ); // returns 0.0



## Examples





javascript var objectKeys = require( '@stdlib/utils-keys' ); var pareto1 = require( '@stdlib/stats-base-dists-pareto-type1' ); console.log( objectKeys( pareto1 ) );



*

## Notice

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].

#### Community

[![Chat][chat-image]][chat-url]

—-

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].