Noncentral F random numbers
R = ncfrnd(NU1,NU2,DELTA)
R = ncfrnd(NU1,NU2,DELTA,m,n,...)
R = ncfrnd(NU1,NU2,DELTA,[m,n,...])
R = ncfrnd(NU1,NU2,DELTA) returns a matrix
of random numbers chosen from the noncentral F distribution
with corresponding numerator degrees of freedom in
denominator degrees of freedom in
NU2, and positive
noncentrality parameters in
DELTA can be vectors, matrices, or multidimensional
arrays that have the same size, which is also the size of
A scalar input for
DELTA is expanded to a constant matrix with
the same dimensions as the other inputs.
R = ncfrnd(NU1,NU2,DELTA,m,n,...) or
= ncfrnd(NU1,NU2,DELTA,[m,n,...]) generates an
can each be scalars or arrays of the same size as
Compute six random numbers from a noncentral F distribution with 10 numerator degrees of freedom, 100 denominator degrees of freedom and a noncentrality parameter, δ, of 4.0. Compare this to the F distribution with the same degrees of freedom.
r = ncfrnd(10,100,4,1,6) r = 2.5995 0.8824 0.8220 1.4485 1.4415 1.4864 r1 = frnd(10,100,1,6) r1 = 0.9826 0.5911 1.0967 0.9681 2.0096 0.6598
 Johnson, N., and S. Kotz. Distributions in Statistics: Continuous Univariate Distributions-2. Hoboken, NJ: John Wiley & Sons, Inc., 1970, pp. 189–200.