AbstractAmong the many contributions of Professor Luke to the theory of special functions, the most useful in computational statistics is probably that on the incomplete Γ function. This short paper points out that an incomplete Γ function routine is so important that it should be a standard part of any library of statistical subroutines. The paper goes on to give another example of use of the incomplete Γ function: as a means for computer generation of Poisson random variables. and, having urged wide use of the incomplete Γ function, proceeds with development of a Poisson generator whose principal aim is to avoid use of the very function is has previously lauded. Occasional use of an accurate incomplete Γ routine is essential however, in o...
The Poisson-Kingman distributions, PK(ρ), on the infinite simplex, can be constructed from a Poisson...
We present an algorithm which allows a fast numerical computation of Feldman-Cousins confidence inte...
This thesis explores some new means to generate random numbers without incurring any numerical inacc...
AbstractAmong the many contributions of Professor Luke to the theory of special functions, the most ...
The Poisson distribution is a distribution commonly used in statistics. It also plays a central role...
We present a computational procedure to evaluate the integral ∫xy sp-1 e-μs ds, for 0 ≤ x 0, which ...
AbstractThe paper discusses three recently-developed algorithms for generating Poisson(λ) random var...
An algorithm for computing the incomplete gamma function γ∗(a, z) for real values of the parameter a...
AbstractMultivariate Poisson random variables subject to linear integer constraints arise in several...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
The topic of my bachelor thesis is studying truncated Poisson sample which is a part of a sample fro...
An algorithm for the computation of the regularized incomplete Beta function is described. This func...
After providing a systematic outline of the stochastic genesis of the Poisson–Tweedie distribution, ...
AbstractWe describe a new uniform asymptotic expansion for the incomplete gamma function Γ(a,z) vali...
The Poisson-Kingman distributions, PK(ρ), on the infinite simplex, can be constructed from a Poisson...
We present an algorithm which allows a fast numerical computation of Feldman-Cousins confidence inte...
This thesis explores some new means to generate random numbers without incurring any numerical inacc...
AbstractAmong the many contributions of Professor Luke to the theory of special functions, the most ...
The Poisson distribution is a distribution commonly used in statistics. It also plays a central role...
We present a computational procedure to evaluate the integral ∫xy sp-1 e-μs ds, for 0 ≤ x 0, which ...
AbstractThe paper discusses three recently-developed algorithms for generating Poisson(λ) random var...
An algorithm for computing the incomplete gamma function γ∗(a, z) for real values of the parameter a...
AbstractMultivariate Poisson random variables subject to linear integer constraints arise in several...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
The topic of my bachelor thesis is studying truncated Poisson sample which is a part of a sample fro...
An algorithm for the computation of the regularized incomplete Beta function is described. This func...
After providing a systematic outline of the stochastic genesis of the Poisson–Tweedie distribution, ...
AbstractWe describe a new uniform asymptotic expansion for the incomplete gamma function Γ(a,z) vali...
The Poisson-Kingman distributions, PK(ρ), on the infinite simplex, can be constructed from a Poisson...
We present an algorithm which allows a fast numerical computation of Feldman-Cousins confidence inte...
This thesis explores some new means to generate random numbers without incurring any numerical inacc...