Lifeboat Distribution

Probability Distribution Plotter (ProbDistPlot) is a GIU tool which plots statistical distributions commonly used in reliability engineering. The program plots the probability distribution function (pdf), the cumulative distribution function (cdf) and the hazard rate of each distribution. The...

An electron gun produces particles with specified rates and random velocities and direction, some of them collide with upper plate that its position and size are defined. This program simulate this process and shows what percent of particles collide with the plate and also show the distribution...

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

The pseudo-Wigner distribution function provides space-frequency information from a given image. In this application, image data can be locally analyzed in any desired direction by the use of an sliding 1-D small window. Calculation time is greatly decreased this way, converting the PWD in a...


Platforms: Matlab

All the information required to compute the random sequence are extracted from the pp-form structure, in particular the lowest and the highest generated numbers corresponds to the first and last break of the pp form respectively.RANDPDFS uses FNINT to compute the cumulative distribution function,...


Platforms: Matlab

This function retrieve the student distribution value for a given alpha and degree of freedom value.Inputs: a = can be any alpha value n = number of data pointsOutput: st = value of the student distribution alpha = the alpha value used perc = the corresponding percentageComment: a can be...


Platforms: Matlab

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

RANDPDF returns the matrix of random numbers from probability density distribution defined in p and px. p are the density (the y axis) and px are the value (the x axis) of the pdf. p and px must be of the same length. dim define the output matrix dimensions, for example dim=[100 3] define the...


Platforms: Matlab

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0


Platforms: Matlab

EMPRAND generates random numbers from empirical distribution of data. This is useful when you do not know the distribution type (i.e. normal or uniform), but you have the data and you want to generate random numbers form that data.The idea is to first construct cumulative distribution function...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab

This function extracts a scalar/vector/matrix of random numbers with discrete Probability Distribution Function.The PDF is specified by the user as a input vector.This function is designed to be fast, and it is implemented within a .mex fileFollowing Olivier B. comments (that I acknowledge for...


Platforms: Matlab

Useful functions for manipulating and fitting data using the modified Rosin-Rammler distribution.These functions are pretty straightforward, and are provided primarily as a simple, useful curve-fitting example. Much of the code is adapted directly from the "fitcurvedemo" detailed in the MatLab...


Platforms: Matlab

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

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 Kolmogorov cumulative distribution function.


Platforms: Matlab

The objective is to demonstrate character/ symbol frequency distribution analysis (reference to the English language) on 2 vintage ciphers, namely Caesar cipher (a mono-alphabetic substitution cipher) and the Vigenere cipher (a poly-alphabetic substitution cipher).Under the symbol frequency...


Platforms: Matlab

Calculates the min and max of a positive triangular distribution given a standard deviation (sigma) and assuming the mode = 1.This function can handle single value,vector or matrix inputs of sigma. For sigma > 1/sqrt(6), the distribution will be asymmetrical with minimum = 0 and mode = 1.


Platforms: Matlab

For negative and pisitive data.If you have part of your data with a negative sign, you can try this analysis to find and plot the Weibull Distribution. FOr positive data runs very well.


Platforms: Matlab