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Kurtosis Measure In C
Kurtosis
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A Matlab library for Diffusion Weighted MRI (DW-MRI) Processing, Diffusion Tensor (DTI) Estimation, Diffusion Kurtosis (DKI) Estimation, Higher-order Diffusion Tensor Analysis, Tensor ODF estimation, Visualization and more.



This script shows how to compute the Diffusion Kurtosis (DKI) Coefficients from a given Diffusion-Weighted MRI dataset. The script implements several fitting methods with various constraints from the article by A. Barmpoutis and J. Zhuo...




This method tries to deconvolve a periodic series of impulses from
a 1d vector. It does this by designing a FIR filter to maximize
a norm criterion called Correlated Kurtosis. This method is has
applications in fault...



This file implements the Multi User Kurtosis Algorithm for Blind Source Separation (see [1] for more details about the method).

The zip file contains:

- the one_shot.m script file
- the MUK_algorithm.m function



To walk through the code and for a thorough description, refer to

Meucci, A. (2010) "Annualization and General Projection of Skewness, Kurtosis and All Summary Statistics"

Latest version of article and code...



Calculates Average Roughness, RMS Roughness, Skewness and Kurtosis. Has an option of filtering low-frequency and high-frequency components of images and calculating roughness for each of the separated images (waviness and roughness components).



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...



Calculates the Mardia's multivariate skewness and kurtosis coefficients as well as their corresponding statistical tests. For large sample size the multivariate skewness is asymptotically distributed as a Chi-square random variable; here it is...



The D'Agostino-Pearson's K2 test is used to assessing normality of data using skewness and kurtosis. It approximates to the chi-squared distribution.

File needs to input the data vector and significance level (default = 0.05).
It...



This function deals with the univariate hypotheses test concerning skewness and kurtosis.

It needs to input data vector, direction of tests (1 = one-tailed; 2 = two-tailed)[default = 2], and significance level (default =...



This is the iterative 2D Minimum Entropy Deconvolution implemented according to an iterative method in the original paper:

R.A. Wiggins, Minimum Entropy Deconvolution, Geoexploration, vol. 16, Elsevier Scientific Publishing, Amsterdam,...



ecdfcalc4fe calculates absic statistics for a sample set: mean, variance, std.dev, kurtosis, skewness, probability mass function/density funcion and cumulative distribution.
it does not provide new algorithms but combines current function on...



GUI for calculating 1st and 2nd order statistics of series of images.

Calculates Average, RMS, Skewness and Kurtosis - 1st order statistics. (identical to File ID: #25981 - GUI for calculating roughness parameters in images)



Following features are calculated:
% Mean
% Variance
% Skewness
% Kurtosis
% Energy
% Entropy

Any Other histogram based features can be easily incorporated.Enjoy it



The homogeneity of variances test is a useful tool in many scientific applications. Boos and Brownie (2004) and Conover et al. (1981) give a broad review.

Here, we developed an m-file as an alternative to the homogeinity of variances...



The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is...



A ball bearing is comprised of an inner and an outer ring. A fault in each one of them can cause the resonance frequencies of the bearing to awake.
This program has a simple GUI with which you can investigate bearing faults in the inner or...



% pearspdf
% [p,type,coefs] = pearspdf(X,mu,sigma,skew,kurt)
%
% Returns the probability distribution denisty of the pearsons distribution
% with mean `mu`, standard deviation `sigma`, skewness `skew` and
% kurtosis...



TDescStatTable and TDescStatQuery are new database components used to summarize the data contained in any numeric datafield in any of an application's database tables. Tables of any size can be analyzed. The component produces the following...



Dew Lab Studio contains: MtxVec library with Stats Master, DSP Master and Data Miner add ons.MtxVec v2.0 feature list:object oriented numerical library for Delphi and C++ Builder users and .NETComplete support for complex numbers for all functions...