Statistics Toolbox For Use with MATLAB pdf
The Statistics Toolbox has more than 200 M-files, supporting work in these
topical areas:
Probability Distributions
The Statistics Toolbox supports 20 probability distributions. For each distribution there are five associated functions.
They are
• Probability density function (pdf)
• Cumulative distribution function (cdf)
• Inverse of the cumulative distribution function
• Random number generator
• Mean and variance as a function of the parameters.
For most distributions, the Statistics Toolbox also provides functions for computing parameter estimates and confidence intervals.
Descriptive Statistics
The Statistics Toolbox provides functions for describing the features of a data sample. These descriptive statistics include measures of location and spread, percentile estimates and functions for dealing with data having missing values.
Linear Models
In the area of linear models, the Statistics Toolbox supports one-way, two-way, and higher-way analysis of variance (ANOVA), analysis of covariance (ANOCOVA), multiple linear regression, stepwise regression, response surface prediction, ridge regression, and one-way multivariate analysis of variance (MANOVA). It supports nonparametric versions of one- and two-way ANOVA. It also supports multiple comparisons of the estimates produced by ANOVA and ANOCOVA functions. Nonlinear Models For nonlinear models, the Statistics Toolbox provides functions for parameter estimation, interactive prediction and visualization of multidimensional nonlinear fits, and confidence intervals for parameters and predicted values. It
PDF Link: Statistics Toolbox For Use with MATLAB pdf
Probability Distributions
The Statistics Toolbox supports 20 probability distributions. For each distribution there are five associated functions.
They are
• Probability density function (pdf)
• Cumulative distribution function (cdf)
• Inverse of the cumulative distribution function
• Random number generator
• Mean and variance as a function of the parameters.
For most distributions, the Statistics Toolbox also provides functions for computing parameter estimates and confidence intervals.
Descriptive Statistics
The Statistics Toolbox provides functions for describing the features of a data sample. These descriptive statistics include measures of location and spread, percentile estimates and functions for dealing with data having missing values.
Linear Models
In the area of linear models, the Statistics Toolbox supports one-way, two-way, and higher-way analysis of variance (ANOVA), analysis of covariance (ANOCOVA), multiple linear regression, stepwise regression, response surface prediction, ridge regression, and one-way multivariate analysis of variance (MANOVA). It supports nonparametric versions of one- and two-way ANOVA. It also supports multiple comparisons of the estimates produced by ANOVA and ANOCOVA functions. Nonlinear Models For nonlinear models, the Statistics Toolbox provides functions for parameter estimation, interactive prediction and visualization of multidimensional nonlinear fits, and confidence intervals for parameters and predicted values. It
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