I\'m looking for a way to generate a set of integers with a specified mean and std. deviation. Using the random library, it is possible to generate a set of random doubles distributed in gaussian fas
I\'m writing a Monte Carlo algorithm, in which at one point I need to divide by a random variable. More precisely: the random variable is used as a step width for a difference quotient, so I actually
I\'ve been hunting for a convenient way to sample from a multivariate normal distribution.Does anyone know of a readily available code snippet to do that?For matrices/vectors, I\'d prefer to use Boost
I have the following dataset1: Height | Group 1,556|A 2,111|B 1,556|A 2,341|B 1,256|A 2,411|B I would like to compute shapiro wilk normality test for Height by variable Group
I\'d like to generate a random color, based on an original color and a normal distribution, so I can create a random texture telling the script \"Okay, this is the general color you should be using, b
In matlab it is easy to generate a normally distributed random vector with a mean and a standard deviation. From the help randn:
I\'m trying to generate some random numbers with simple non-uniform probability to mimic lifelike data for testing purposes.I\'m looking for a function that accepts mu and sigma as parameters and retu
I would like to reproduce the following figure in MATLAB: There are two classes of points with X and Y coordinates. I\'d like to surround each class with an ellipse with one parameter of standard d
I\'m trying to use boost::normal_distribution in order to generate a normal distribution with mean 0 and sigma 1.
Is there any way to randomly generate a set of positive numbers such that they have a desired mean and standard deviation?
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