% New Functionality in version 2.2 of the MATLAB Statistics Toolbox.
%
% Cluster Analysis
%   pdist       - Pairwise distance between observations.
%   squareform  - Square matrix formatted distance. 
%   linkage     - Hierachical cluster information.
%   dendrogram  - Generate dendrogram plot.
%   inconsistent- Inconsistent values of a cluster tree.
%   cophenet    - Cophenetic coefficient.
%   cluster     - Construct clusters from LINKAGE output.
%   clusterdata - Construct clusters from data.
%
% New Functionality in version 2.1 of the MATLAB Statistics Toolbox.
%
% Nonparametric Hypothesis Tests.
%    ranksum  - Wilcoxon rank sum test for identical distributions.
%    signrank - Wilcoxon signed rank test for paired samples.
%    signtest - Sign test for paired samples.
%
% New Functionality in version 2.0 of the MATLAB Statistics Toolbox.
%
% Six new probability distributions.
% Of particular note are the noncentral versions of the chi-square,
% F, and t distributions. These are useful for finding the power of 
% a statistical test for various alternative hypotheses.
% 
% Parameter Estimation for Probability Distributions
% Parameter estimates and confidence intervals for eight distributions:
% beta, binomial, exponential, gamma, normal, Poisson, uniform and Weibull. 
% 
% Statistical Process Control 
% Control Charting functions
%     Exponentially weighted moving average (EWMA) plot.
%         Good for monitoring processes subject to mean drift.
%     S chart
%         Time-series plot of the standard deviation of samples.
%     X-bar plot
%         Time-series plot of the means of samples.
%     Capability plots
%         Determines the probability that a new observation will fall 
%         inside the specifications. Based on the assumption that the 
%         process is in control using a trial run of the process.
%     Histogram with fitted normal density.
%         Presentation graphic for showing process location.
% 
% Design of Experiments (DOE) and Response Surface Methodology (RSM).
% Factorial and D-optimal designs. Functions for generating designs, 
% augmenting designs and optimally assigning units with fixed covariates.
%
% Nonlinear model fitting.
% Functions for parameter estimation, interactive prediction and 
% visualization of multidimensional nonlinear fits, and confidence
% intervals for parameters and predicted values.
%
% Principal Components Analysis.
% Simplify data analysis by reducing the number of variables.
%
% Stepwise Regression
% Selecting the right variables to include in a multiple regression model.
% 
% New Statistical Graphic User Interfaces and Plotting Tools
%  rsmdemo  - Demonstration of DOE, response surface modeling,
%             and nonlinear modeling using a simulator of a 
%             chemical reaction.
%  nlintool - Multiple input modeling and interactive graphical
%             prediction for nonlinear models.
%  rstool   - Modeling and interactive graphical prediction for
%             polynomial models with multiple inputs.
%  stepwise - Interactive graphical tool for selecting explanatory
%             variables in regression.
%  regstats - Graphical tool for computing specified regression diagnostics.
%  gname    - Interactive graphical tool for labeling plotted points.
%  gline    - Point and click way to draw a line on a plot.
%  refline  - Specify a reference line on a graph.
%  lsline   - Add least squares fitted line data in a graph.
%  weibplot - Weibull probability plot. 

% Copyright (c) 1993-98 by The MathWorks, Inc.
% $Revision: 1.6 $
