This MATLAB function returns the mean and variance of the lognormal distribution with the distribution parameters mu (mean of logarithmic values) and sigma (standard deviation of logarithmic values).
I am calculating mean and variance of my original and stego image to compare them I am using grayscale BMP image for comaprison. image=imread("image name") M = mean(image(:)) V = var((image(:))) Is this is correct way fo calculating mean/var in MATLAB?
This MATLAB function returns the mean of and variance for the Rayleigh distribution with scale parameter B.
If you want a uniform distribution do this: n = 1024; x = sqrt (3)* (2*rand (n,1)-1); The random variable x will have a statistical mean of 0 and variance of 1. Of course any given n-element sample will deviate from these. These are only the statistically expected values. the cyclist on 18 Sep 2014.
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In this MATLAB tutorial we are going to discuss mean and variance calculations of continuous variables. We will write our own function to solve for this, and use the built-in functions available to us in MATLAB.
Description [M,V] = chi2stat(NU) returns the mean of and variance for the chi-square distribution with degrees of freedom parameters specified by NU. NU can be a vector, a matrix, or a multidimensional array. The degrees of freedom parameters in NU must be positive.. The mean of the chi-square distribution is ν, the degrees of freedom parameter, and the variance is 2ν.
In this video I quickly explain how to solve the mean/ semivariance portfolio selection problem in matlab. The problem normally does not have a closed soluti...
The Matlab command randngenerates samples of a Gaussian distributed random variable with mean 0 and variance 1. To obtain a mean other than zero, just add or subtract a constant from the generated vector. To obtain a variance other than one, multiply the generated vector by the standard deviation (square root of the variance).