Normal Distribution Error Generator

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This function calculates the probability under the normal distribution curve, plots the graph and the area calculated.Normaldistribution calculating the area under a normal distribution curve from -ve infinity upto point x. Input: x : point on the normal distribution curve mean : mean of the...

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Platforms: Windows

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...


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

Forces the pdf of data to have a normal distribution using a data adaptive lookup table. [normX,Bx,By]=normalizepdf(X)normX=N(X), where N is an data adaptive monotonically increasing function. normX will have zero mean and unit variance.Bx,By is the lookup table


Platforms: Matlab

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)...


Platforms: Matlab

R = RCR(S) computes the semi-edge-length of the mean-centered hypercube with 95% probability given S, which is either a covariance matrix or a vector of standard deviations from a multivariate normal distribution. If S is a real, nonnegative vector, RCR(S) is equivalent to RCR(DIAG(S.^2)). Scalar...


Platforms: Matlab

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 ) *...


Platforms: Matlab

A pH Calculator, a Virtual Titrator, a Real Titration Data Analyzer, a Distribution Diagram Generator - that's CurTiPot, the all-in-one freeware to learn, teach and work with chemical equilibrium of acids, bases, salts and buffers at home, classroom, interactive "dry lab", routine or research...


Platforms: Windows

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

This technique simply calculates variation based on a comparison of all abundances in a time series, and is free of assumptions of an underlying 'normal' distribution. It is more robust that the coefficient of variation CV and/or the standard deviation of log transformed abundances SDL, it is not...


Platforms: Matlab

The Logistic-Normal distribution [1] is a distribution over a simplex which forms a richer class of distributions than Dirichlets and better captures intercomponent correlations. We present the method for fitting a Hierarchical Logistic-Normal (HLN) distribution given by Hoff [2].Instructions:1....


Platforms: Matlab

The function bvnormal supplies a bivariate normal distribution for the user to interact with. The user can rotate the picture for better views and adjust the parameters of the distribution. A good teaching tool enabling students to better visualize the bivariate normal


Platforms: Matlab

This is a small program that creates a normalized 2-dimensional normal distribution, also known as a gaussian bell. The user has the options to decide the center of the distribution, the standard deviation, the size of the output matrix, and the area over which to create the distribution.I did...


Platforms: Matlab

Barcode label maker software creates high resolution and well designed barcode images which are useful for all packaging, supply and distribution manufacturing industries. Easy to operate food packaging, distribution barcode generator software generates highly attractive and rich quality barcode...


Platforms: Windows

The Extended GARCH Toolbox estimates a variety of GARCH models with different distributions and for any order of ARCH (p) and GARCH (q) effects.The supported models are:GARCH: Bollerslev (1986)GJR-GARCH: Glosten et al. (1993) EGARCH: Nelson (1991) NARCH: Nonlinear ARCH: Engle and Bollerslev...


Platforms: Matlab

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. Including Distributions: -Beta distribution, -Bernoulli distribution, -Bernoulli-Gauss distribution, -Binomial distribution,...


Platforms: Windows, *nix

gjrand is a programmer's library for pseudo-random numbers. gjrand library includes random number generator testing code and is intended for simulation, games, and "Monte-Carlo" algorithms. It produces pseudo-random numbers of the types: uniform integers, uniform reals, normally distributed...


Platforms: Mac

Here is the code for the pricing of an american call option with one dividend. This is the Roll, Geske,Whaley approximation of an AMerican call with one dividend. This code makes use of Bivariate normal distribution and normal distribution. More pricing options would be followed soon.


Platforms: Matlab