| Statistics Toolbox |
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- How to Use This Guide
- Related Products List
- Typographical Conventions
- What Is the Statistics Toolbox?
- Primary Topic Areas
- Random Numbers in Examples
- Mathematical Notation
- Introduction
- Overview of the Functions
- Probability Density Function (pdf)
- Cumulative Distribution Function (cdf)
- Inverse Cumulative Distribution Function
- Random Number Generator
- Mean and Variance as a Function of Parameters
- Overview of the Distributions
- Beta Distribution
- Binomial Distribution
- Chi-Square Distribution
- Noncentral Chi-Square Distribution
- Discrete Uniform Distribution
- Exponential Distribution
- F Distribution
- Noncentral F Distribution
- Gamma Distribution
- Geometric Distribution
- Hypergeometric Distribution
- Lognormal Distribution
- Negative Binomial Distribution
- Normal Distribution
- Poisson Distribution
- Rayleigh Distribution
- Student's t Distribution
- Noncentral t Distribution
- Weibull Distribution
- Introduction
- Measures of Central Tendency (Location)
- Measures of Dispersion
- Functions for Data with Missing Values (NaNs)
- Function for Grouped Data
- Percentiles and Graphical Descriptions
- Percentiles
- Probability Density Estimation
- Empirical Cumulative Distribution Function
- The Bootstrap
- Introduction
- One-Way Analysis of Variance (ANOVA)
- Example: One-Way ANOVA
- Multiple Comparisons
- Example: Multiple Comparisons
- Two-Way Analysis of Variance (ANOVA)
- Example: Two-Way ANOVA
- N-Way Analysis of Variance
- Example: N-Way ANOVA with Small Data Set
- Example: N-Way ANOVA with Large Data Set
- Multiple Linear Regression
- Mathematical Foundations of Multiple Linear Regression
- Example: Multiple Linear Regression
- Quadratic Response Surface Models
- Exploring Graphs of Multidimensional Polynomials
- Stepwise Regression
- Example: Stepwise Regression
- Stepwise Regression Plot
- Stepwise Regression Diagnostics Table
- Generalized Linear Models
- Example: Generalized Linear Models
- Robust and Nonparametric Methods
- Robust Regression
- Kruskal-Wallis Test
- Friedman's Test
- Introduction
- Nonlinear Least Squares
- Example: Nonlinear Modeling
- An Interactive GUI for Nonlinear Fitting and Prediction
- Regression and Classification Trees
- Introduction
- Hypothesis Test Terminology
- Hypothesis Test Assumptions
- Example: Hypothesis Testing
- Available Hypothesis Tests
- Introduction
- Principal Components Analysis
- Example: Principal Components Analysis
- The Principal Components (First Output)
- The Component Scores (Second Output)
- The Component Variances (Third Output)
- Hotelling's T2 (Fourth Output)
- Factor Analysis
- Example: Finding Common Factors Affecting Stock Prices
- Factor Rotation
- Predicting Factor Scores
- Comparison of Factor Analysis and Principal Components Analysis
- Multivariate Analysis of Variance (MANOVA)
- Example: Multivariate Analysis of Variance
- Cluster Analysis
- Hierarchical Clustering
- K-Means Clustering
- Classical Multidimensional Scaling
- Overview
- Reconstructing a Map from Inter-City Distances
- Introduction
- Box Plots
- Distribution Plots
- Normal Probability Plots
- Quantile-Quantile Plots
- Weibull Probability Plots
- Empirical Cumulative Distribution Function (CDF)
- Scatter Plots
- Introduction
- Control Charts
- Xbar Charts
- S Charts
- EWMA Charts
- Capability Studies
- Introduction
- Full Factorial Designs
- Fractional Factorial Designs
- Response Surface Designs
- Central Composite Designs
- Box-Behnken Designs
- D-Optimal Designs
- Generating D-Optimal Designs
- Augmenting D-Optimal Designs
- Designing Experiments with Uncontrolled Inputs
- Controlling Candidate Points
- Including Categorical Factors
- Introduction
- The disttool Demo
- The polytool Demo
- Confidence Bounds
- Overfitting
- The aoctool Demo
- Example: aoctool with Sample Data
- The randtool Demo
- The rsmdemo Demo
- Part 1
- Part 2
- The glmdemo Demo
- The robustdemo Demo
- Functions -- By Category
- Probability Distributions
- Descriptive Statistics
- Statistical Plotting
- Statistical Process Control
- Linear Models
- Nonlinear Regression
- Design of Experiments
- Multivariate Statistics
- Decision Tree Techniques
- Hypothesis Tests
- Distribution Testing
- Nonparametric Testing
- File I/O
- Demonstrations
- Data
- Functions -- Alphabetical List
| | Preface | |