Multivariate Quadratic

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

Hotelling's T-Squared multivariate test for one sample, two independent samples [homoskedasticity or heteroskedasticity (to test)] and two dependent samples. Platforms: Matlab

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

SPECTRAL_MVA is a GUI for running Multivariate analysis of spectroscopic dataInitially designed for analysis of X-ray Photoelectron spectra, can be used for analysis of any type of data tables, containing spectra or any other dataOpens MAT files with or without a variable X. Opens VMS files (XPS... Platforms: Matlab

Quad Genius Pro is an interactive java-based graphical software designed by me at IIT Guwahati for school students of classes sixth to ninth to help them solve quadratic and linear equations and learn through the process. Platforms: Windows, Mac, Linux

Generally application is selecting Gauss-Legendre Quadratic integration method. In this sub function is directly application of homogen integration technique for triangular area and tetrahedral volumes.This tetrahedral sub functions results is collate Gauss #5# point integration triangular sub... Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci (2009) , "Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck",Latest version of article and code available at http://symmys.com/node/132 Platforms: Matlab

USAGE: [Y CovY] = Correlation_elimination( X )INPUT:X denote multivariate original observations (correlated data)OUTPUT:Y denote the multivariate uncorrelated dataCovY is the covariance of Y_________________________________________Example:Transform the multivariate Poisson-Weibull (X) data to new... 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 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

A collection of M-Files that provide a succesful implementation of the difficult problem of numerical computation of multivariate normal probabilities. This is very useful for the distributed detection with nuisance parameters and in classical multivariate problems. Two methods are used for which... Platforms: Matlab

We use the power of symbolic toolbox in order to find the optimal point in an arbitrary multivariate functionChange the following code based on your objective function and run the programFunction F in Symbolic Formata='(x1^2+x2-11)^2+(x1+x2^2-7)^2';The code will iterate and converge to x and y of... Platforms: Matlab

this function plots the 2D multivariate gaussian when the mean and covariance are provided. It does not use for loops. ex: plot mean=[10;11],cov=[6 0;0 6] 2D multivariate gaussian function >> mvg([10;11],[6 0;0 6]) Platforms: Matlab

Doornik-Hansen (1994) introduce a multivariate version of the univariate omnibus test for normality of Shenton and Bowman (1977), based on the transformed skewness and kurtosis. Due that the skewness and kurtosis are not independently distributed and the kurtosis approaches very slowly to... Platforms: Matlab

Dynamic economic dispatch is an important variant of economic dispatch,where the the ramp constraints also considered .This software presents a simple way of implementing the quadaratic programming to solve the problem. 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

Fuzzy numbers and basic fuzzy arithmetics (+, -, *, /, 1/x) implementation written in Java. Should be used as a library, but it also has a GUI which demonstrates its capabilities (using SWT widgets). Features: * Implements L-R fuzzy numbers and Decomposed fuzzy numbers * Linear, Gaussian,... Platforms: Mac

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run... Platforms: Matlab

Graphical user interface driven first-order multivariate calibration using up-to-date methods, including PCR, PLS, net analyte methods and ortoghonal signal correction. Provides a variety of pre-processing tools, cross-validation plots, prediction plots, elliptical joint region plots, net analyte... Platforms: Matlab

MVLOGNRAND MultiVariate Lognormal random numbers with correlation.This function will generate multivariate lognormal random numbers with correlation.Often one would simulation a lognormal distribution by first simulating a normal and then taking the exponent of it.If you provide the correlation... Platforms: Matlab