Nonlinear Correlation

The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~grayscale image, vector ~ color image and matrix~structure tensor). Additive Operator Splitting(AOS) as well as Gaussian regularization are...

Implementation of Nicholas J. Higham's algorithm "Computing the Nearest Correlation Matrix - A Problem from Finance", 2002.http://eprints.ma.man.ac.uk/232/01/covered...S_ep2006_70.pdf

References:Fisher, N.I. and A.J. Lee (1983) A correlation coefficient for circular data. Biometrika Trust. 70(2):327-332 http://biomet.oxfordjournals.org/cgi/conte...stract/70/2/327Fisher, N.I. (1996) Statistical Analysis of Circular Data. Cambridge University Press.ISBN 0521568900,...


Platforms: Matlab

This function computes double block bootstrap percentile confidence intervals and bootstrap standard errors for the Pearson correlation coefficient r and Fisher's z = atanh(r).References:-Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall.-BdoDshlmann, P. and...


Platforms: Matlab

This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient...


Platforms: Matlab

CORRPERC performs a bootstrap (of size equal to n_iters) on correlation matrices of input variable Y and computes the percentiles corrsperc (according to input perc) of each correlation. The function also provides the standard deviation corrstd for each correlation.[corrsperc, corrstd] =...


Platforms: Matlab

AMI computes and plots average mutual information (ami) and correlation of univariate or bivariate time series for different values of time lag.USAGE: [amis corrs] = ami(xy,nBins,nLags)INPUT: xy: either univariate (x) or bivariate ([x y]) time series data. If bivariate time series are given then...


Platforms: Matlab

Lynch_Chaps.zip contains the MATLAB files, Simulink model files and a Tutorial Introduction to MATLAB for the new book, "Applications of Chaos and Nonlinear Dynamics in Engineering - Vol. 1". The book is published by Springer and edited by S.Banerjee, M.Mitra and L.Rondoni.


Platforms: Matlab

This particular NVNA measurement setup is referenced from the following: J Hu et al "Calibrated Nonlinear Vector Network Measurement Without Using a Multi-Harmonic Generator" to appear in IET Microwaves, Antennas & Propagation. It's also extensively described in the following: J Hu "Radio...


Platforms: Matlab

ShadedCorrelationTable produces a correlation table for a set of variables, enhanced graphically with shading according to correlation values.Upper or lower ranges of correlation values may be highlighted through the interface controls. Two methods are provided to do this: a decay function that...


Platforms: Matlab

Chapter 4 Nonlinear Equations4.1 Iterative Method toward Fixed Point4.2 Bisection Method4.3 False Position OR Regula Falsi Method4.4 Newton(-Raphson) Method4.5 Secant Method4.6 Newton Method for a System of Nonlinear Equations4.7 Symbolic Solution for Equations4.8 A Real-World Problem


Platforms: Matlab

Y = UPSIDECORRELATION(Y) returns the upside correlation for columns of variable Y.Y = UPSIDECORRELATION(Y, m) returns the upside correlation using vector m as expected value for columns of variable Y.====================================================Upside correlation is defined as the upside...


Platforms: Matlab

Y = DOWNSIDECORRELATION(Y) returns the downside correlation for columns of variable Y.Y = DOWNSIDECORRELATION(Y, m) returns the downside correlation using vector m as expected value for columns of variable Y.====================================================Downside correlation is defined as...


Platforms: Matlab

The enclosed function implements nonlinear fuzzy robust PCA algorithmintroduced inP. Luukka, 'A New Nonlinear Fuzzy Robust PCA Algorithm and Similarityclassifier in classification of medical data sets',International Journal of Fuzzy Systems, Vol. 13, No. 3, September 2011pp. 153-162.


Platforms: Matlab

QT clustering algorithm as described in:Heyer, L. J., Kruglyak, S., Yooseph, S. (1999). Exploring expression data: Identification and analysis of coexpressed genes. Genome Research 9,...


Platforms: Matlab

This weighted nonlinear fit script fulfills the requirements of physicists, chemists and other quantative scientists, who need a fitting script for the everyday use. This script fits and creates nice plots with results and data automatically printed in a legend. It saves much time compared to...


Platforms: Matlab

MATLAB fsolve is frequently used to solve nonlinear algebraic equation systems. This utility makes it simple. User enters initial guesses and equations. The equations will be solved automatically after user clicks the Run button. Residual values are also displayed for user to judge the quality of...


Platforms: PHP

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

The expected performance of a stock depends on quality of the company, market evaluation of its stock, and macroeconomic environment. Also general market current condition is a significant contributing factor in the stock performance. So that it is clear that a good investing decision should be...


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