This function estiamtes the Kolmogorov Complexity of a binary sequence. The algorithm is as described in Lempel and Ziv (IEEE trans inf theory IT-22, 75 (1976)) and Kaspar and Schuster (Physical Review A, vol 36, no 2, pg 842). Input is binary sequence, output is kolmogorov complexity.
This 15-line matlab program solves the nonlinear reaction diffusion equation, called Kolmogorov-Petrovskii-Piskunov (KPP) equation to generate patterns (ribbons and rings). The numerical method is simple and program is easy to
A generalized mean, also known as power mean, Holder mean or Kolmogorov-Negumo function of the mean, is an abstraction of the Pythagorean means included harmonic, geometric, and arithmetic mean.
It is defined as,
Mk =...
Add to Your statistic toolbox this functions: KolmCdf - Kolmogorov cumulative distribution function: F(x)=sum((-1)^n*exp(-2*n^2*x^2),n,-inf,inf); KolmPdf - Kolmogorov probability distribution function; KolmInv - Inverse of the...
kstest_2s_2d.m: function to do two-sample two-dimensional Kolmogorov-Smirnov test
It's similar to the MATLAB built-in funtion "kstest2" from Statistics Toolbox except that "kstest_2s_2d" deals with two-dimensional...
Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".
Methods are: 1....
The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...
The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...
The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...
Single Sample Kupier Goodness-Of-Fit Hypothesis Test. Similar to Kolmogorov-Smirnov (K-S) test, but (K-S) test tend to be most sensitive around median value of the distribution and less sensitive at the distribution tails.
Doesn't...
The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...
plotcdfkuiper(x,a,b,cdf,varargin)
Plot the cumulative probability distribution for a set of variates x between limits a,b and compare with the theoretical cumulative distribution function using the Kuiper test.
cdf = handle...
Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S)...
BOXCOUNT Box-Counting of a D-dimensional array (with D=1,2,3).
The Box-counting method is useful to determine fractal properties of a 1D segment, a 2D image or a 3D array. If C is a fractal set, with fractal dimension DF < D,... |