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R2012a Documentation → Statistics Toolbox
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Contents

Index

• Getting Started

• User's Guide

• Organizing Data

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Random Number Generation

Generating Random Data

Random Number Generation Functions

• Common Generation Methods

Inversion Methods

Acceptance-Rejection Methods

• Representing Sampling Distributions Using Markov Chain Samplers

Using the Metropolis-Hastings Algorithm

Using Slice Sampling

• Generating Quasi-Random Numbers

Quasi-Random Sequences

Quasi-Random Point Sets

Quasi-Random Streams

• Generating Data Using Flexible Families of Distributions

Pearson and Johnson Systems

Generating Data Using the Pearson System

Generating Data Using the Johnson System

• Hypothesis Tests

• Analysis of Variance

• Parametric Regression Analysis

• Multivariate Methods

• Cluster Analysis

• Parametric Classification

• Nonparametric Supervised Learning

• Markov Models

• Design of Experiments

• Statistical Process Control

• Parallel Statistics

Sample Data Sets

• Distribution Reference

• Release Notes

Random Number Generation

Probability Distributions Used for Multivariate Modeling

Probability Distributions Used for Multivariate Modeling

Generating Random Data

Generating Random Data

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