Introduction to Data Types

• MATLAB Arrays

• Statistical Arrays

• Grouped Data

  Introduction to Descriptive Statistics

  Measures of Central Tendency

  Measures of Dispersion

  Measures of Shape

• Resampling Statistics

  Data with Missing Values

  Introduction to Statistical Visualization

  Scatter Plots

  Box Plots

• Distribution Plots

  Using Probability Distributions

• Supported Distributions

• Working with Distributions Through GUIs

• Statistics Toolbox Distribution Functions

• Using Probability Distribution Objects

• Probability Distributions Used for Multivariate Modeling

  Generating Random Data

  Random Number Generation Functions

• Common Generation Methods

• Representing Sampling Distributions Using Markov Chain Samplers

• Generating Quasi-Random Numbers

• Generating Data Using Flexible Families of Distributions

  Introduction to Hypothesis Tests

  Hypothesis Test Terminology

  Hypothesis Test Assumptions

  Example: Hypothesis Testing

  Available Hypothesis Tests

  Introduction to Analysis of Variance

• ANOVA

• MANOVA

  Introduction to Parametric Regression Analysis

• Linear Regression

• Nonlinear Regression

  Introduction to Multivariate Methods

• Multidimensional Scaling

• Procrustes Analysis

• Feature Selection

• Feature Transformation

  Introduction to Cluster Analysis

• Hierarchical Clustering

• K-Means Clustering

• Gaussian Mixture Models

  Introduction to Parametric Classification

• Discriminant Analysis

• Naive Bayes Classification

• Performance Curves

• Supervised Learning (Machine Learning) Workflow and Algorithms

• Classification Using Nearest Neighbors

• Classification Trees and Regression Trees

• Ensemble Methods

  Bibliography

  Introduction to Markov Models

  Markov Chains

• Hidden Markov Models (HMM)

  Introduction to Design of Experiments

• Full Factorial Designs

• Fractional Factorial Designs

• Response Surface Designs

• D-Optimal Designs

  Introduction to Statistical Process Control

  Control Charts

  Capability Studies

• Quick Start Parallel Computing for Statistics Toolbox

• Concepts of Parallel Computing in Statistics Toolbox

• When to Run Statistical Functions in Parallel

• Working with parfor

• Reproducibility in Parallel Statistical Computations

• Examples of Parallel Statistical Functions

• Bernoulli Distribution

• Beta Distribution

• Binomial Distribution

• Birnbaum-Saunders Distribution

• Chi-Square Distribution

  Copulas

  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

  Johnson System

• 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

  Pearson System

  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