| Products & Services | Solutions | Academia | Support | User Community | Company |
| Download Product Updates | | | Get Pricing | | | Trial Software |
| Documentation → Statistics Toolbox |
| Contents | Index |
| Learn more about Statistics Toolbox |
R = ncx2rnd(V,DELTA)
R = ncx2rnd(V,DELTA,v)
R = ncx2rnd(V,DELTA,m,n)
R = ncx2rnd(V,DELTA) returns a matrix of random numbers chosen from the noncentral chi-square distribution using the corresponding degrees of freedom in V and positive noncentrality parameters in DELTA. V and DELTA can be vectors, matrices, or multidimensional arrays that have the same size, which is also the size of R. A scalar input for V or DELTA is expanded to a constant array with the same dimensions as the other input.
R = ncx2rnd(V,DELTA,v) returns a matrix of random numbers with parameters V and DELTA, where v is a row vector. If v is a 1-by-2 vector, R is a matrix with v(1) rows and v(2) columns. If v is 1-by-n, R is an n-dimensional array.
R = ncx2rnd(V,DELTA,m,n) generates random numbers with parameters V and DELTA, where scalars m and n are the row and column dimensions of R.
ncx2rnd(4,2,6,3) ans = 6.8552 5.9650 11.2961 5.2631 4.2640 5.9495 9.1939 6.7162 3.8315 10.3100 4.4828 7.1653 2.1142 1.9826 4.6400 3.8852 5.3999 0.9282
[1] Evans, M., N. Hastings, and B. Peacock. Statistical Distributions. 2nd ed., Hoboken, NJ: John Wiley & Sons, Inc., 1993, pp. 50–52.
[2] Johnson, N., and S. Kotz. Distributions in Statistics: Continuous Univariate Distributions-2. Hoboken, NJ: John Wiley & Sons, Inc., 1970, pp. 130–148.
random, ncx2pdf, ncx2cdf, ncx2inv, ncx2stat
Noncentral Chi-Square Distribution
![]() | ncx2pdf | ncx2stat | ![]() |

Includes the most popular MATLAB recorded presentations with Q&A sessions led by MATLAB experts.
| © 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS |