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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

cdf - Class: ProbDist

Return cumulative distribution function (CDF) for ProbDist object

Syntax

Y = cdf(PD, X)

Description

Y = cdf(PD, X) returns Y, an array containing the cumulative distribution function (CDF) for the ProbDist object PD, evaluated at values in X.

Input Arguments

`PD`	An object of the class `ProbDistUnivParam` or `ProbDistUnivKernel`.
`X`	A numeric array of values where you want to evaluate the CDF.

Output Arguments

Y An array containing the cumulative distribution function (CDF) for the ProbDist object PD.

See Also

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