Gaussian Tail Distribution
y = gaussiantail(m,s,x,a,c)
output
mean
standard deviation
x is real number lying within the range -infinity to +infinity for pdf computation.
lower limit and it must be positive.
It will allow the user to generate a random variate from the upper tail of a Gaussian distribution with mean m and standard deviation s. The values returned are larger than the lower limit a. 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 gaussiantail distribution with mean m and standard deviation s.
This function is used to generate the gaussian random variate from the upper tail gaussian distribution and probability density p(x) at x of a gaussian tail distribution with mean m and standard devitation s.
// probability density p(x) at x=2.0 for a gaussiantail distribution with mean m=0, standard devitation s=1 and lower limit a=1.5 m=0 s=1 x=2.0 a=1.5 c=2 y = gaussiantail(m,s,x,a,c) disp(y) | ![]() | ![]() |