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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

• 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

• Bernoulli Distribution

Definition of the Bernoulli Distribution

• Beta Distribution

• Binomial Distribution

• Birnbaum-Saunders Distribution

• Chi-Square Distribution

Custom Distributions

• Exponential Distribution

• Extreme Value Distribution

• F Distribution

• Gamma Distribution

Gaussian Distribution

Gaussian Mixture Distributions

• Generalized Extreme Value Distribution

• Generalized Pareto Distribution

• Geometric Distribution

• Hypergeometric Distribution

• Inverse Gaussian Distribution

• Inverse Wishart Distribution

• Logistic Distribution

• Loglogistic Distribution

• Lognormal Distribution

• Multinomial Distribution

Multivariate Gaussian Distribution

• Multivariate Normal Distribution

• Multivariate t Distribution

• Nakagami Distribution

• Negative Binomial Distribution

• Noncentral Chi-Square Distribution

• Noncentral F Distribution

• Noncentral t Distribution

Nonparametric Distributions

• Normal Distribution

Pareto Distribution

Piecewise Distributions

• Poisson Distribution

• Rayleigh Distribution

• Rician Distribution

• Student's t Distribution

• t Location-Scale Distribution

• Uniform Distribution (Continuous)

• Uniform Distribution (Discrete)

• Weibull Distribution

• Wishart Distribution

• Release Notes

Distribution Reference

Sample Data Sets

Sample Data Sets

Bernoulli Distribution

Bernoulli Distribution

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