Contents

Index

• Getting Started

• Data Organization

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Distribution Objects

• Distribution Plots

• Probability Density

• Cumulative Distribution

• Inverse Cumulative Distribution

• Distribution Statistics

• Distribution Fitting

• Negative Log-Likelihood

• Random Number Generators

• Quasi-Random Numbers

• Piecewise Distributions

• Hypothesis Tests

• Analysis of Variance

• Regression Analysis

• Multivariate Methods

• Cluster Analysis

• Model Assessment

• Classification

• Hidden Markov Models

• Design of Experiments

• Statistical Process Control

• GUIs

• Release Notes

Learn more about Statistics Toolbox

unifinv - Continuous uniform inverse cumulative distribution function

Syntax

X = unifinv(P,A,B)

Description

X = unifinv(P,A,B) computes the inverse of the uniform cdf with parameters A and B (the minimum and maximum values, respectively) at the corresponding probabilities in P. P, A, and B can be vectors, matrices, or multidimensional arrays that all have the same size. A scalar input is expanded to a constant array with the same dimensions as the other inputs.

The inverse of the uniform cdf is

The standard uniform distribution has A = 0 and B = 1.

Examples

What is the median of the standard uniform distribution?

median_value = unifinv(0.5)
median_value =
  0.5000

What is the 99th percentile of the uniform distribution between -1 and 1?

percentile = unifinv(0.99,-1,1)
percentile =
  0.9800

See Also

icdf, unifcdf, unifpdf, unifstat, unifit, unifrnd

Uniform Distribution (Continuous)

unifcdf

unifit

Recommended Products

Get MATLAB trial software

Includes the most popular MATLAB recorded presentations with Q&A sessions led by MATLAB experts.

Get the Interactive Kit

© 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS