Calculating the density and distribution function for the singly and doubly noncentral F
Statistics and Computing
Evaluating the Noncentral Chi-Square Distribution for theCox-Ingersoll-Ross Process
Computational Economics
On the computation of the noncentral F and noncentral beta distribution
Statistics and Computing
SIAM Journal on Scientific Computing
Computing the noncentral gamma distribution, its inverse and the noncentrality parameter
Computational Statistics
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This paper deals with the computation of upper and lower tail probabilities of the noncentral gamma distribution and with the computation of the noncentrality parameter given the upper or lower tail probability. The tail probabilities are computed in an efficient and numerically stable manner with a given relative accuracy even for small probabilities and for a wide range of parameters where other algorithms found in the statistical literature fail. The basic ideas in this paper can also be applied to the noncentral chisquare, beta, $F$, and $t$ distributions.