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Continuous Random Variables software
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Continuous Random Variables

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Added: August 26, 2013 | Visits: 238

Algebraic Manipulation of Random Variables (Numerical) % [z zC Z ZC] = transRV(jointXY,C,opp,n) Numerically approximate the PDF of% a nonlinear combination of the random variables X and Y given the joint% distribution of X and Y. The joint distribution (jointXY) should be% generated using [jointXY, C] = hist3([x(:) y(:)]).%% z =...



Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Algebraic Manipulation of Random Variables (Numerical) Download

Added: June 03, 2013 | Visits: 203

Triangular Distributed Random Variable Generator This function generates a vector of triangular distributed continuous random variable. By specifying minimum value(a), maximum value(b), mode(c), and number of variables to be generated(n), the function gives a vector of random variables as output (X). The command syntax is X=trirnd(a,c,b,n).You...





Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Triangular Distributed Random Variable Generator Download

Added: May 31, 2013 | Visits: 165

Random Variable Generation This collection generates random variables and vectors of random variables with various distributions, including Bernoulli, geometric, exponential, Gaussian, Poisson, discrete uniform, and continuous uniform, based on the parameters you input to the function.


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Random Variable Generation Download

Added: July 09, 2013 | Visits: 184

MW1cv This file obtain a Mann-Whitney's U of two random variables with continuous cumulative distribution associated to a p-value. This procedure is highly recommended for sample sizesnx and ny


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): MW1cv Download

Added: July 15, 2013 | Visits: 180

MVGRND Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma).mvgrnd(mu,sigma,n)


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): MVGRND Download

Added: August 10, 2013 | Visits: 193

MW2cv This file obtain a Mann-Whitney's U of two random variables with continuous cumulative distribution associated to a p-value. This procedure is highly recommended for sample sizes 7< nx and ny


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): MW2cv Download

Added: April 10, 2013 | Visits: 164

MW2cdf Probability of obtaining a Mann-Whitney's U of two random variables with continuous cumulative distribution. Based on the Fortran77 algorithm AS 62 Appl. Statist. (1973). This procedure is highly recommended for sample sizes 7< nx and ny


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): MW2cdf Download

Added: April 01, 2013 | Visits: 164

MW1cdf Probability of obtaining a Mann-Whitney's U of two random variables with continuous cumulative distribution. It's based on the Mann-Whitney (1947). This procedure is highly recommended for sample sizes n1 and n2


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): MW1cdf Download

Added: May 27, 2013 | Visits: 197

Laird-Ware Random Effects Model Fits the Laird-Ware Linear Random Effects Model. This model assumes that for each subject y=x*b+z*g+e where x and z are known m x p and m x r matricies, b is p x 1 parameter vector and g is a r vector which has a multivariate normal distribution with mean zero, e is a vector of identitcal...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Laird-Ware Random Effects Model Download

Added: July 12, 2013 | Visits: 214

FPtest Fligner-Policello is a non-parametric test of two combined random variables with continuous cumulative distribution. It is a robust rank-order test of treatment effects for populations which assumes neither normality nor equal variances (Behrens-Fisher problem). It does one assumption, which is...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): FPtest Download

Added: May 10, 2013 | Visits: 179

Heteroskedasticity Test Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox. Requirements: - MATLAB 7.7 or higher - MATLAB's Statistics Toolbox


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

License: Freeware Download (28): Heteroskedasticity Test Download

Added: July 31, 2013 | Visits: 221

BPSK Simulation for AWGN & Rayleigh Channels BPSK SYSTEM SIMULATIONWe simulate the generation of random variables r0 and r1, which constitutes the input to detector. We begin by generating a binary sequence of 0?s and 1?s that occur with equal probability and are mutually (statistically) independent. For this, we use a Random number...


Platforms: Matlab

License: Freeware Size: 10 KB Download (18): BPSK Simulation for AWGN & Rayleigh Channels Download

Added: September 09, 2013 | Visits: 206

Copula generation and estimation Functions written in 2007 for Master Thesis: "Simulating dependent random variables using copulas. Applications to Finance and Insurance". Functions include MVCOPRND - multivariate copula generator, CMLSTAT for estimation of copula parameters using Canonical Maximum Likelihood Method. Functions...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Copula generation and estimation Download

Added: March 31, 2013 | Visits: 204

Normally and positive distributed pseudorandom numbers This function generate random variables distributed according to a truncated normal distribution (or, by a translation, to a normal distribution with positive support). This kind of problem is especially interesting for generating variables with MCMC methods.We use a mixed accept-reject...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Normally and positive distributed pseudorandom numbers Download

Added: June 10, 2013 | Visits: 212

PoissRatioCdf PoissRatioCdf computes the cumulative distribution function (cdf) and/or the probability mass function (pmf) of the random variable X which is proportional to the ratio of two independent Poisson random variables, X = constant * (Y_lambdaNum / Y_lambdaDen), where constant is given constant,...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 778.24 KB Download (18): PoissRatioCdf Download

Added: August 08, 2013 | Visits: 205

randp.m This function generates Pareto random variables (of type I). See "Statistical Distributions", Evans, Hastings and Peacock, Wiley, 1993or http://www.maths.adelaide.edu.au/matthew.r...trns/node6.htmlor http://en.wikipedia.org/wiki/Pareto_distribution The Pareto distribution is a classic...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): randp.m Download

Added: July 29, 2013 | Visits: 235

Complex Generalized Gaussian distribution generator Generates complex generalized gaussian random variables with augmentedcovariance matrix Ta = [2*s 0; 0 2*s];and shape parameter c, where c = 1 corresponds to the Gaussian case.x = cggd_rand(c,s,N) generates a vector 1xN of complex samples with a circulargaussian distribution with shape parameter...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 1024 KB Download (19): Complex Generalized Gaussian distribution generator Download

Added: August 05, 2013 | Visits: 180

Kernel estimate for (Conditional) Mutual Information Mutual information I(X,Y) measures the degree of dependence (in terms of probability theory) between two random variables X and Y. Is is non-negative and equal to zero when X and Y are mutually independent. Conditional mutual information I(X,Y|Z) is the expected value of I(X,Y) given the value of...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (19): Kernel estimate for (Conditional) Mutual Information Download

Added: April 02, 2013 | Visits: 195

bernpdf Y = BERNPDF(P) where P is an N x 1 vector returns the distribution of the sum of N Bernoulli random variables. Y is of length N+1 and Y(j) is equal to the probability that the sum adds to j+1. The vector P comprises the means of Bernoulli random variables, which is to say that P(k) is the...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): bernpdf Download

Added: June 26, 2013 | Visits: 204

Random Barnoulli Variable This function generates random Bernoulli variables. There is often a need to generated a random variable that has Bernoulli distribution. This function generates Bernoulli random variables 0 and 1.


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (20): Random Barnoulli Variable Download

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