Statistics Toolbox 6.2
Latest Features
Version 6.2
Released: 01 Mar 2008Version 6.2, part of Release 2008a, includes the following enhancements:
- New cross-validation functions for regression, classification, and clustering
- New sequential feature selection for regression and classification
- New quasi-random numbers for space-filling designs and Monte Carlo integration
- New partial least-squares regression for multicollinear data
- New nonnegative matrix factorization for dimension reduction
See the Release Notes for details.
Update Now
- Download the latest version if your software maintenance service is current.
- Purchase or request a renewal quote if your maintenance service has lapsed.
- Try the latest version by downloading or requesting trial software.
Version 6.1
Released: 01 Sep 2007Version 6.1, part of Release 2007b, includes the following enhancements:
- Gaussian mixture distribution fitting and random number generation
- Copula parameter estimation from data
- Diagonal covariance matrix support for multivariate normal regression
- Enhanced
boxplotstyle suitable for displaying a large number of groups - Conversion from covariance matrix to correlation matrix
See the Release Notes for details.
Version 6.0
Released: 01 Mar 2007Statistics Toolbox 6.0
- New dataset arrays for convenient organization and analysis of heterogeneous data and metadata
- Encapsulate variables of different data types in a single array
- Describe variables and observations using metadata, and access them by name
- Create, manage, and operate on dataset arrays
- New categorical arrays for organizing and processing categorical data
- Store both nominal (unordered) and ordinal data
- Create, manage, and operate on categorical arrays
- Use categorical arrays as input arguments in all Statistics Toolbox functions that use grouping variables
- New distribution fitting functionality for modeling outlier-prone data using empirical and Pareto models
scatterhistfunction for producing scatter plots of 2-D data with marginal distributions along the axeslinhyptestfunction for linear hypothesis testing of regression coefficients- Classification and regression trees for producing objects to analyze model results
- Enhanced classify function for computing coefficients of discriminant functions defining boundaries between classification regions
See the Release Notes for details.
Version 5.3
Released: 01 Sep 2006Version 5.3, part of Release 2006b, includes the following enhancements:
- New visualization capabilities -- main-effects plots, two-factor interaction plots, and multivariate charts for Design of Experiment results
- Expanded statistical process control functionality -- gage repeatability and reproducibility studies, eight new control charts, control rules for control chart data, and enhanced capability analysis functions
- New regression functionality -- multivariate regressions with missing data and multinomial regressions of discrete multicategory data, including multinomial logistic regression
- Expanded probability distributions -- multinomial PDF and random number generator
- Enhanced hypothesis testing -- new function to calculate sample size necessary for a hypothesis test to have a specified power, and improvements to Lilliefors and Jarque-Bera distribution tests to accommodate a wider range of sample sizes, significance levels, and probability distributions
See the Release Notes for details.
Version 5.2
Released: 01 Mar 2006Version 5.2, part of Release 2006a, includes the following enhancements:
- Monte Carlo methods, including improved bootstrap capability and Markov Chain Monte Carlo tools
- ANOVA support for nested and continuous factors
- Expanded probability distributions: multivariate CDFs and more random number generators
- DOE improvements in D-optimal design generation and in generator selection for fractional factorial designs
- Copula enhancements and robust nonlinear regression
See the Release Notes for details.
Version 5.1
Released: 01 Sep 2005Version 5.1, part of Release 14 with Service Pack 3, includes the following enhancements:
- New univariate probability distributions: generalized extreme value and generalized Pareto
- New hypothesis tests: chi-square goodness of fit, variance testing (including the Ansari Bradley and Levene tests), and a runs test of randomness
- New partial correlation functionality (linear and rank)
- New and enhanced functionality for prediction, inverse prediction, and prediction intervals
- New Cox proportional hazards regression for survival data
- Enhanced plotting usability for
ksdensityandecdf
See the Release Notes for details.
Version 5.0.2
Released: 07 Mar 2005Version 5.0.2, part of Release 14 with Service Pack 2, includes bug fixes. See the Release Notes for details.
Version 5.0.1
Released: 22 Sep 2004Version 5.0.1 includes bug fixes.
Version 5
Released: 02 Jun 2004New features include:
- Distribution-fitting graphical user interface and command-line functions for:
- Fitting and plotting distributions to data
- Evaluating distributions at specific point
- Handling censored (lifetime) data
- Support for N-Dimensional arrays in random number generation and descriptive statistics
- Several new multivariate plotting functions
- New functions and enhancements to maximum likelihood estimates (MLE) functionality
- Improved multivariate analysis capabilities, including:
- Non-metric multidimensional scaling
- More rotation options for factor analysis and pca
- Faster and more flexible hierarchical clustering
- Faster exact p-values for nonparametric tests and control over approximate s exact calculation
- Rank correlation (Spearman and Kendall)
Version 4.1
Released: 22 Sep 2003Version 4.1 includes a variety of new functions for:
- Analyzing hidden Markov models
- Analyzing Weibull distributions
- Analyzing extreme value distributions
- Stepwise regression and plotting
- Creating and editing the options structure of distribution fitting functions
Enhancements include:
- Improved graphical user interfaces for stepwise regression, plotting and generating distributions, robust fitting, and regression diagnostics for linear models
- Improved N-way analysis of variance for which you can now specify that grouping variables in an ANOVA model are random effects, using the syntax
- Distribution functions that now accept censored data
Store