Normal Probability Distribution

This script generates artificial spatial data using a first order spatial autoregressive process (AR1)The process isX(i,j) = PHI*(X(i,j-1)+X(i,j+1)+X(i-1,j)+X(i+1,j) + errorTo generate a 10x10, periodic spatial pattern, with normal error distribution, and a variance of SIGMA, the command...

This model was build for data that tends to fluctuate between different regimes but can be applied quite generally.The data I used in this example is assumed to come from three regimes: 1-full generation, 2-partial generation, 3-little to no generation. The%model works as follows:1) I split the...

The Friedman test is a non-parametric statistical test developed by the U.S. economist Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts. The procedure involves ranking each row (or block) together,...


Platforms: Matlab

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 for cumulative distribution functionvarargin contains parameters for...


Platforms: Matlab

Color Scatter Plot for random data point visualization. It mimics a continuous 2D probability distribution.coldotplot(x,y,s0,Ad) creates at scatterplot with dots of sizes that correspond to their density in the swarm of points. The larger dots will also have a more "hot" color in the dense...


Platforms: Matlab

This GUI can be used by entering 'nu' at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function's integral can be evaluated over a user defined range by...


Platforms: Matlab

The QM Superposition Launcher package is a self-contained file for the teaching of the time evolution and visualization of energy eigenstates and their superpositions in quantum mechanics. The file contains ready-to-run OSP programs and curricular materials. One can choose from several real-time...


Platforms: Mac

A classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. This software is a Java implementation of a maximum entropy...


Platforms: Mac

StatAssist displays graphs and related properties of more than 40 probability distributions. This application will save you time and prevent calculation errors if your work or study involves the use of continuous or discrete distributions. It allows to quickly select a distribution of interest,...


Platforms: Windows

At the moment, the Normal Inverse Gaussian (NIG) distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit. This...


Platforms: Matlab

At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit.


Platforms: Matlab

Use Visual Probability to compute and graph probability density function values, cumulative distribution function values, quantile values, means and variances of ten more distributions. Use Visual Probability to compute and graph probability density function values, cumulative distribution...


Platforms: Windows, Windows 7, Windows Server

EM estimation of parameters of bi variate NIG distribution.The test file:1. Simulate biNIG sample with use of randraw.m (http://www.mathworks.com/matlabcentral/fileexchange/7309)or invgrnd.m (http://www.mathworks.com/matlabcentral/fileexchange/10934) .2. Calls EMBIVNIG.m (values of starting...


Platforms: Matlab

Probability of Synapomorphy was designed as an R script that implements a new method for evaluating synapomorphy on phylogenetic trees. All you have to do is install R and run the script. A method that quantifies the pattern of character state distribution over a cladogram and as such is free...


Platforms: Windows

SquidNet Software's Network Distribution Processor (SquidNet-NDP) allows just about any distributed processing application (Maya, 3D Studio Max, Blender, Lightwave, etc...) with a command-line based interface to evenly distribute job "slices", segments or frames amongst one or more network...


Platforms: Windows

Distribution Guide is a program allowing to build various graphs of statistical distributions. It enables you to enter the parameters of the particular distribution and display the graphs of such functions as PDF, CDF, and others. Printing support is provided as well. Supported distributions: -...


Platforms: Windows

This script uses fact that any probability distributions can be sampled by computing the cumulative distribution, drawing a random number from 0 to 1, and finding the x-value where that number is attained on the cumulative distribution. The searchsorted(..) function performs this search. This...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This function generates random numbers distributed according to the Laplace distribution using the Probability integral transformation


Platforms: Matlab

There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative distribution function (cdf). For the complex gamma...


Platforms: Matlab

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal...


Platforms: Matlab