Standard Normal Random Variable
GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda
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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...
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This GUI demo shows how a random variable, X, is transformed to a new random variable, Z, by a function z=f(x). The random variable X can have a uniform probability density function (pdf), a Gaussian pdf, or ?Other pdf? given by a user specified MATLAB expression. A pseudo-random number generator...
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Website provides barcode for libraries utility that empowers user to create standard barcode label images having unique identification by applying linear series, constant value and random variable methods for generating barcode list producing bulk quantity of barcode stickers with distinct...
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MVNRND2 Random vectors from the multivariate normal distribution. R = MVNRND2(MU,SIGMA,NUM) returns a NUM-by-D matrix R of multivariate normal random vectors whose mean and covariance matrix match the given input parameters, MU (1-D vector) and SIGMA (D-by-D matrix) [...] = MVNRND2(...,COVNORM)...
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Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0
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MVG is a multivariate Gaussian (normal) random number generator. A user can generate a vector from the multivariate normal distribution of any dimension by specifying a mean vector and symmetric positive-definite covariance matrix. A linear transformation based on the Cholesky decomposition of...
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After messing up the step settings on Steinberg's StepFilter for the upteenth million time, I decided that there has to be a better way. Utilizing the Audio Damage DSP library, and spending an inordinate amount of company time, I came up with this little gadget, which fulfills the same functions...
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this function use the maximum log likelihood algorithm For Detection of onset of change It assume an inhomogeneous Poisson process that has a constant intensity ?0 until the change point, and a constant intensity ?1 thereafter. (step function where ?0 and ?1 are unknown) A is a random variable...
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Converts normally distributed z-statistic to one- or two-tailed p-valueby integrating the standard normal pdf. If no "tails" value is specified, z2p computes the two-tailed value by default. The output p is the same size as z, which can be a scalar, vector, or matrix. Inputs:z: normally...
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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,...
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ABSTRANS Convert spectral absorbance to transmitanceTRANSABS Convert spectral transmitance to absorbanceSNV Standard Normal VariateSAVGOL Savitsky-Golay smoothing and differentiationNORMALIZ Normalize matrix rows dividing by its normNORMXAS Normalize XAS spectra to absorbance range from 0 to 1MSC...
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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.
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Random Number Pro is a practical math tool to generate random numbers according to different distributions. Only three steps you need do.Download and try it.
Platforms: Windows, *nix
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% 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 `kurt`, evaluated at the values in X.%% Some combinations of moments are not valid for...
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DigitFD generates random sample from the fiducial distribution of the parameters mu and sigma [of the unobservable normal distribution], based on the (digitized) measurements from instrument with limited, however known resolution. Here,measurements = round( (mu + sigma * Z)/resolution ) *...
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It became clear that things didn't really work properly with Boost 1.42, so I've refactored the package to try to help you kludge Boost Random 1.47 into place if necessary; this seems to work; see with cpprandpar.m file for build help.===============Update: Version 0.9.5 now has wired in many...
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NMath Stats is a .NET statistics library that provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics,...
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A uniform random number generator is used to generate the binary information sequence from the binary data source. The sequence of d-de?0d-deOaos and d-de?1d-deOaos is mapped into sequence of +E and d-deOCtEwhere E represents the signal energy. E may be normalized to unityThe Gaussian noise...
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This m-function returns the beta-geometric probability density function with parameters A and B at the values in X. Note: The density function is zero unless A and B are integers.The Beta-geometric distribution is used to model the number of failures that will occur in a binomial proccess before...
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