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R2012a Documentation → Statistics Toolbox
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Contents

Index

• Getting Started

• User's Guide

• Data Organization

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Distribution Objects

ProbDistUnivKernel

ProbDistUnivParam

• 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

• Parametric Regression Analysis

• Multivariate Methods

• Cluster Analysis

• Model Assessment

• Parametric Classification

• Nonparametric Supervised Learning

• Hidden Markov Models

• Design of Experiments

• Statistical Process Control

• GUIs

• Release Notes

icdf - Class: ProbDistUnivParam

Return inverse cumulative distribution function (ICDF) for ProbDistUnivParam object

Syntax

Y = icdf(PD, P)

Description

Y = icdf(PD, P) returns Y, an array containing the inverse cumulative distribution function (ICDF) for the ProbDistUnivParam object PD, evaluated at values in P.

Input Arguments

`PD`	An object of the class `ProbDistUnivParam`.
`P`	A numeric array of values from `0` to `1` where you want to evaluate the ICDF.

Output Arguments

Y An array containing the inverse cumulative distribution function (ICDF) for the ProbDistUnivParam object PD.

See Also

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