bisacdf
"upper")Birnbaum-Saunders cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) of the Birnbaum-Saunders distribution with scale parameter beta and shape parameter gamma. The size of p is the common size of x, beta and gamma. A scalar input functions as a constant matrix of the same size as the other inputs.
p = bisacdf (x, beta, gamma, "upper")
computes the upper tail probability of the Birnbaum-Saunders distribution
with parameters beta and gamma, at the values in x.
Further information about the Birnbaum-Saunders distribution can be found at https://en.wikipedia.org/wiki/Birnbaum%E2%80%93Saunders_distribution
See also: bisainv, bisapdf, bisarnd, bisafit, bisalike, bisastat
Source Code: bisacdf
## Plot various CDFs from the Birnbaum-Saunders distribution
x = 0.01:0.01:4;
p1 = bisacdf (x, 1, 0.5);
p2 = bisacdf (x, 1, 1);
p3 = bisacdf (x, 1, 2);
p4 = bisacdf (x, 1, 5);
p5 = bisacdf (x, 1, 10);
plot (x, p1, "-b", x, p2, "-g", x, p3, "-r", x, p4, "-c", x, p5, "-m")
grid on
legend ({"β = 1, γ = 0.5", "β = 1, γ = 1", "β = 1, γ = 2", ...
"β = 1, γ = 5", "β = 1, γ = 10"}, "location", "southeast")
title ("Birnbaum-Saunders CDF")
xlabel ("values in x")
ylabel ("probability")
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## Plot various CDFs from the Birnbaum-Saunders distribution
x = 0.01:0.01:6;
p1 = bisacdf (x, 1, 0.3);
p2 = bisacdf (x, 2, 0.3);
p3 = bisacdf (x, 1, 0.5);
p4 = bisacdf (x, 3, 0.5);
p5 = bisacdf (x, 5, 0.5);
plot (x, p1, "-b", x, p2, "-g", x, p3, "-r", x, p4, "-c", x, p5, "-m")
grid on
legend ({"β = 1, γ = 0.3", "β = 2, γ = 0.3", "β = 1, γ = 0.5", ...
"β = 3, γ = 0.5", "β = 5, γ = 0.5"}, "location", "southeast")
title ("Birnbaum-Saunders CDF")
xlabel ("values in x")
ylabel ("probability")
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