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Noncentral chi-square cumulative distribution function (cdf)
Syntax
Description
computes the noncentral chi-square cdf at each of the values in P = ncx2cdf(X,V,DELTA)
X using the corresponding degrees of freedom in V and positive noncentrality parameters in DELTA. Vector or matrix inputs for X, V, and DELTA must have the same size, which is also the size of P. A scalar input for X, V, or DELTA is expanded to a constant matrix with the same dimensions as the other inputs.
Some texts refer to this distribution as the generalized Rayleigh, Rayleigh-Rice, or Rice distribution.
The noncentral chi-square cdf is
Example
References
[1] Johnson, N., and S. Kotz, Distributions in Statistics: Continuous Univariate Distributions-2, John Wiley and Sons, 1970. pp. 130-148.
See Also
cdf, ncx2inv, ncx2pdf, ncx2rnd, ncx2stat
| nctstat | ncx2inv | ![]() |