Multivariate

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data... Platforms: Windows, Windows 8, Windows 7, Windows Server

Aura« Is the automated expert system for multivariate statistical forecasting. It combines the unique power of full automated multivariate statistical analysis in unlimited dimensions with the remarkable ease of use. It can both offer the instant forecast by one mouse click or expand for you... Platforms: Windows

CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that... Platforms: Windows, Other

Data Loom is a program for exploring multivariate data. It displays the data in a parallel coordinates chart, where each data variable is represented by a vertical axis and each data point is represented by a trace drawn across all the axes. Such charts can help you to see relationships between... Platforms: Mac

The Unscrambler Online enables full utilization of PLSR and PCR models for prediction, and of PLS, PCR and PCA models for classification, developed in The Unscrambler software. The use of Unscrambler Online results in effective application of multivariate statistical approaches in process and... Platforms: Windows

CodonW is a programme designed to simplify the Multivariate analysis (correspondence analysis) of codon and amino acid usage. It was written in ANSI compliant C. See the README file for more information. Platforms: Windows, Mac, BSD, Linux

The mfBox is a Matlab toolbox for performing model-free analysis of multivariate data sets. It also plugs into SPM used for the analysis of multivariate brain recordings such as fMRI, SPECT and PET data sets. Platforms: Windows, Mac, Linux

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For more details... Platforms: Matlab

RiskMetrics.m: Estimates the univariate or multivariate RiskMetrics. USAGE: rm = RiskMetrics(data,alpha) INPUTS: data = ( m x n ) vector lamba = the scale parameter method = Univariate or Multivariate OUTPUTS: rm = ( m x n ) volatility vector for the univariate case or an [( n x n )x m]... Platforms: Matlab

variogramfit performs a least squares fit of various theoretical variograms to an experimental, isotropic variogram. The user can choose between various bounded (e.g. spherical) and unbounded (e.g. exponential) models. A nugget variance can be modelled as well, but higher nested models are not... Platforms: Matlab

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting... Platforms: Matlab

This library has been designed to perform temporal disaggregation of economic time series using a variety of techniques: univariate methods without indicators (Boot-Feibes-Lisman, Stram-Wei), univariate methods with indicators (Denton, Chow-Lin, Fernandez, Litterman, Santos-Cardoso, Guerrero) and... Platforms: Matlab

These are the M-files that accompany the webinar titled "New Statistics Tools in MATLAB and the Statistics Toolbox." View the recorded webinar here:http://www.mathworks.com/wbnr8328This webinar goes through 2 demos, described below:1) Analysis of survival data from motion controllers - this demo... Platforms: Matlab

We propose a new global optimization algorithm based on a harmony search scheme, termed as harmony element string algorithm (abbreviated as HEA). The algorithm has five fundamental features: (1) The states of the system is represented by strings of elements {0,1,2,3,4} and hence the search of the... Platforms: Matlab

This is the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be used for forecasting purposes. On the zip file there are two... Platforms: Matlab

I have tested this code for a 15-dim MGHD PDF. Please take a look at the README for further details Platforms: Matlab

This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified. Platforms: Matlab

Mex implementation of EM algorithm for multivariate Gaussian mixture. Multiple data/initial parameters are allowed by ND slices definition em_mvgm : Expectation-Maximization algorithm for Multivariate Gaussian Mixtures Usage ------- [logl , M , S , P] = em_mvgm(Z , M0 , S0 , P0 , [nbite]); Inputs... Platforms: Matlab

A fast generator of gaussian mixture samples with a general ND dimensional calling syntax.Permit to sample from a simple multivariate process to several gaussian mixture in a easy way.Please run mexme_sample_mvgm.m to compile on your own platform. (Be sure to mex -setup is done before) Platforms: Matlab

R = RCR(S) computes the semi-edge-length of the mean-centered hypercube with 95% probability given S, which is either a covariance matrix or a vector of standard deviations from a multivariate normal distribution. If S is a real, nonnegative vector, RCR(S) is equivalent to RCR(DIAG(S.^2)). Scalar... Platforms: Matlab