Gaussian Distribution
y = gaussian(m,s,x,c)
output
mean
standard deviation
x is real number lying within the range -infinity to +infinity for cdf and pdf computation. while for inverse cdf x will represent P and Q and its value will lie between 0 and 1.
It will allow the user to generate a gaussian random variate with mean m and standard deviation s. In this case the function is independent of x and hence any value of x can be set.
It will allow the user to compute the probability density p(x) at x for a gaussian distribution with mean m and standard deviation s.
It will allow the user to compute gaussian cdf P(x)
It will allow the user to compute gaussian cdf Q(x).
It will allow the user to compute inverse gaussian cdf P(x).
It will allow the user to compute inverse gaussian cdf Q(x).
This function is used to calculate gaussian random variate, probability density, cumulative distribution functions P(x), Q(x) and their inverse.
// probability density p(x) at x=0 for a gaussian distribution with mean m=0 and standard devitation s=1 m=0 s=1 x=0 c=2 y = gaussian(m,s,x,c) disp(y) | ![]() | ![]() |