Version 6.2 (R2008a) Statistics Toolbox Software

This table summarizes what's new in Version 6.2 (R2008a):

New Features and ChangesVersion Compatibility ConsiderationsFixed Bugs and Known ProblemsRelated Documentation at Web Site

Yes
Details below

Yes
Summary

Bug Reports
Includes fixes

No

New features and changes introduced in this version are organized by these topics:

Descriptive Statistics

Bootstrap confidence intervals computed by bootci are now more accurate for lumpy data.

Compatibility Considerations

The formula for bootci confidence intervals of type 'bca' or 'cper' involves the proportion of bootstrap statistics less than the observed statistic. The formula now takes into account cases where there are many bootstrap statistics exactly equal to the observed statistic.

Model Assessment

Two new cross-validation functions, cvpartition and crossval, partition data and assess models in regression, classification, and clustering applications.

Multivariate Methods

A new sequential feature selection function, sequentialfs, selects predictor subsets that optimize user-defined prediction criteria.

The new nnmf function performs nonnegative matrix factorization (NMF) for dimension reduction.

Probability Distributions

The new sobolset and haltonset functions produce quasi-random point sets for applications in Monte Carlo integration, space-filling experimental designs, and global optimization. Options allow you to skip, leap over, and scramble the points. The qrandstream function provides corresponding quasi-random number streams for intermittent sampling.

Regression Analysis

The new plsregress function performs partial least-squares regression for data with correlated predictors.

Statistical Visualization

The normspec function now shades regions of a normal density curve that are either inside or outside specification limits.

Utility Functions

The statistics options structure created by statset now includes fields for TolTypeFun and TolTypeX, to specify tolerances on objective functions and parameter values, respectively.

  


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