nctcdf
statistics: p = nctcdf (x, df, mu)
statistics: p = nctcdf (x, df, mu, 'upper')
Noncentral -cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) of the noncentral -distribution with df degrees of freedom and noncentrality parameter mu. The size of p is the common size of x, df, and mu. A scalar input functions as a constant matrix of the same size as the other inputs.
p = nctcdf (x, df, mu, "upper") computes
the upper tail probability of the noncentral -distribution with
parameters df and mu, at the values in x.
Further information about the noncentral -distribution can be found at https://en.wikipedia.org/wiki/Noncentral_t-distribution
See also: nctinv, nctpdf, nctrnd, nctstat, tcdf
Source Code: nctcdf
Plot various CDFs from the noncentral Τ distribution
x = -5:0.01:5;
p1 = nctcdf (x, 1, 0);
p2 = nctcdf (x, 4, 0);
p3 = nctcdf (x, 1, 2);
p4 = nctcdf (x, 4, 2);
plot (x, p1, '-r', x, p2, '-g', x, p3, '-k', x, p4, '-m')
grid on
xlim ([-5, 5])
legend ({'df = 1, μ = 0', 'df = 4, μ = 0', ...
'df = 1, μ = 2', 'df = 4, μ = 2'}, 'location', 'southeast')
title ('Noncentral Τ CDF')
xlabel ('values in x')
ylabel ('probability')
Compare the noncentral T CDF with MU = 1 to the T CDF with the same number of degrees of freedom (10).
x = -5:0.1:5;
p1 = nctcdf (x, 10, 1);
p2 = tcdf (x, 10);
plot (x, p1, '-', x, p2, '-')
grid on
xlim ([-5, 5])
legend ({'Noncentral T(10,1)', 'T(10)'}, 'location', 'southeast')
title ('Noncentral T vs T CDFs')
xlabel ('values in x')
ylabel ('probability')