Statistics toolbox $toolbox/matlab/icons/matlabicon.gif

The Statistics Toolbox provides engineers, scientists, researchers, financial analysts, and statisticians with a comprehensive set of tools to assess and understand their data. It includes functions and interactive tools for analyzing historical data, modeling data, simulating systems, developing statistical algorithms, and learning and teaching statistics.

Probability Distributions Distribution Functions M-GUI disttool Random Number Generation M-GUI randtool Simulating Dependent Random Variables Using Copulas M-file copulademo Fitting Distributions to Data Analyzing Survival or Reliability Data M-file survivaldemo Fitting Custom Univariate Distributions M-file customdist1demo Fitting Custom Univariate Distributions, Part 2 M-file customdist2demo Modelling Tail Data with the Generalized Pareto Distribution M-file gparetodemo Modelling Data with the Generalized Extreme Value Distribution M-file gevdemo Curve Fitting and Distribution Fitting M-file cfitdfitdemo Fitting a Univariate Distribution Using Cumulative Probabilities M-file cdffitdemo Multivariate Analysis Visualizing Multivariate Data M-file mvplotdemo Classification M-file classdemo Cluster Analysis M-file clusterdemo Factor Analysis M-file factorandemo Classical Multidimensional Scaling M-file cmdscaledemo Non-Classical Multidimensional Scaling M-file mdscaledemo Fitting an Orthogonal Regression Using Principal Components Analysis M-file orthoregdemo Regression Empirical Modeling M-GUI rsmdemo Fitting Data with Generalized Linear Models M-file glmdemo Bayesian Analysis for a Logistic Regression Model M-file bayesdemo Polynomial Fitting M-GUI polytool polytool((1:10)',[ones(10,1) (1:10)' (1:10)'.*(1:10)']*[50;4;-0.75]+randn(10,1))'; Robust Regression M-GUI robustdemo Time Series Regression of Airline Passenger Data M-file stattsdemo Weighted Nonlinear Regression M-file wnlsdemo Pitfalls in Fitting Nonlinear Models by Transforming to Linearity M-file xform2lineardemo Hypothesis Testing Selecting a Sample Size M-file samplesizedemo Plotting Interactive Contour Plots M-GUI fsurfht fsurfht('peaks',[-3 3],[-3 3])