Noncentral chi-square mean and variance
[M,V] = ncx2stat(NU,DELTA)
[M,V] = ncx2stat(NU,DELTA) returns the mean of and variance for the noncentral chi-square pdf with NU degrees of freedom and noncentrality parameter DELTA. NU and DELTA can be vectors, matrices, or multidimensional arrays that all have the same size, which is also the size of M and V. A scalar input for NU or DELTA is expanded to a constant array with the same dimensions as the other input.
The mean of the noncentral chi-square distribution with parameters ν and δ is ν+δ, and the variance is 2(ν+2δ).
 Evans, M., N. Hastings, and B. Peacock. Statistical Distributions. 2nd ed., Hoboken, NJ: John Wiley & Sons, Inc., 1993, pp. 50–52.
 Johnson, N., and S. Kotz. Distributions in Statistics: Continuous Univariate Distributions-2. Hoboken, NJ: John Wiley & Sons, Inc., 1970, pp. 130–148.