Multivariate

Computes a two-way multivariate analysis of variance for equal or unequal sample sizes. in matlab

The following Matlab project contains the source code and Matlab examples used for computes a two-way multivariate analysis of variance for equal or unequal sample sizes. . Computing of a two-way multivariate analysis of variance for equal or unequal sample sizes by the testing of the mean differences in several variables among several samples with two factors.

Multivariate analysis and preprocessing of spectral data in matlab

The following Matlab project contains the source code and Matlab examples used for multivariate analysis and preprocessing of spectral data. SPECTRAL_MVA is a GUI for running Multivariate analysis of spectroscopic data Initially designed for analysis of X-ray Photoelectron spectra, can be used for analysis of any type of data tables, containing spectra or any other data Opens MAT files with or without a variable X.

Simulate a hawkes process in matlab

The following Matlab project contains the source code and Matlab examples used for simulate a hawkes process. The submission considers first-order exponential-decay Hawkes processes with constant unconditional intensities, and presents a) a calculation of point-time intensities for constituent series of a multivariate process; b) a plotting function visualizing intensity dynamics and event occurrences of a multivariate process; c) a *univariate* process simulator, based on Algorithm 1 of Bravaccino (2004, p.

Sampling from multivariate correlated binary and poisson random variables in matlab

The following Matlab project contains the source code and Matlab examples used for sampling from multivariate correlated binary and poisson random variables. You can use the software in this package to efficiently sample from (1) correlated multivariate binary random variables (multivariate Bernoulli) (2) correlated multivariate Poisson random variables (3) correlated random variables with arbitrary marginal statistics.

Multivariate data analysis and monitoring for the process industries in matlab

The following Matlab project contains the source code and Matlab examples used for multivariate data analysis and monitoring for the process industries. Demo files from the webinar Multivariate Data Analysis and Monitoring for the Process Industries, including MATLAB scripts describing multivariate statistical analysis, OPC and database connectivity, and deployment to standalone executables and the web.

Johansen's multivariate analysis of variance procedure under heteroscedasticity. in matlab

The following Matlab project contains the source code and Matlab examples used for johansen's multivariate analysis of variance procedure under heteroscedasticity. . The multivariate analysis of variance (MANOVA) is the statistical procedure used to comparing the mean vectors of several multivariate normal populations.

Applying multivariate classification in the life sciences with statistics toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for applying multivariate classification in the life sciences with statistics toolbox. Over recent releases, Statistics Toolbox has included new functionality for multivariate classification methods, including cross-validation, feature selection, Naïve Bayes, bagged decision trees, ROC performance curves and integration with Parallel Computing Toolbox.
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