hncdf
"upper")Half-normal cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) of the half-normal distribution with location parameter mu and scale parameter sigma. The size of p is the common size of x, mu and sigma. A scalar input functions as a constant matrix of the same size as the other inputs.
[…] = hncdf (x, mu, sigma, "upper") computes
the upper tail probability of the half-normal distribution with parameters
mu and sigma, at the values in x.
The half-normal CDF is only defined for x >= mu.
Further information about the half-normal distribution can be found at https://en.wikipedia.org/wiki/Half-normal_distribution
See also: hninv, hnpdf, hnrnd, hnfit, hnlike, hnstat
Source Code: hncdf
## Plot various CDFs from the half-normal distribution
x = 0:0.001:10;
p1 = hncdf (x, 0, 1);
p2 = hncdf (x, 0, 2);
p3 = hncdf (x, 0, 3);
p4 = hncdf (x, 0, 5);
plot (x, p1, "-b", x, p2, "-g", x, p3, "-r", x, p4, "-c")
grid on
xlim ([0, 10])
legend ({"μ = 0, σ = 1", "μ = 0, σ = 2", ...
"μ = 0, σ = 3", "μ = 0, σ = 5"}, "location", "southeast")
title ("Half-normal CDF")
xlabel ("values in x")
ylabel ("probability")
|
## Plot half-normal against normal cumulative distribution function
x = -5:0.001:5;
p1 = hncdf (x, 0, 1);
p2 = normcdf (x);
plot (x, p1, "-b", x, p2, "-g")
grid on
xlim ([-5, 5])
legend ({"half-normal with μ = 0, σ = 1", ...
"standart normal (μ = 0, σ = 1)"}, "location", "southeast")
title ("Half-normal against standard normal CDF")
xlabel ("values in x")
ylabel ("probability")
|