𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Computing the noncentral beta distribution with S-system

✍ Scribed by Z.Y. Chen; Y.C. Chou


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
122 KB
Volume
33
Category
Article
ISSN
0167-9473

No coin nor oath required. For personal study only.

✦ Synopsis


Based on the recasting techniques of Rust and Voit (1990, J. Amer. Statist. Assoc. 85, 572-578), an S-system form of the noncentral beta distribution is extended from that of the noncentral F distribution and the other one is newly derived. The computing methods of this distribution have received much attention during the last decade. Its cumulative probabilities, densities, quantiles and related distributional values can be calculated in one S-system form. We demonstrate the new computational results using the S-system numerical solver ESSYNS. Consistent results are obtained from these two S-system forms under various situations. In addition, we compare the performance with an ad hoc computing method by evaluating the cumulative probabilities and densities jointly. The S-system formulation provides signiΓΏcant numerical advantages over its original form. Further properties are also discussed.


πŸ“œ SIMILAR VOLUMES


Evaluation of the Noncentral t Distribut
✍ Dr. E. O. Voit; Dr. P. F. Rust πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 722 KB

Densities, citniultitives, and qita~itilcs of the noncentral distributions nre notoriously difficult to cnlculate. I t is shown how the noncentral t distribution is represented in the canonical S-systciii form, i.e., as a set of first-order nonlinear differential equations in which the derivative of

The distribution of the product of two n
✍ Henrich John Malik πŸ“‚ Article πŸ“… 1970 πŸ› John Wiley and Sons 🌐 English βš– 174 KB

In this paper the exact distribution of the product of two noncentral beta variates is derived using Mellin integral transform. The density function of the product is represented as a mixture of Beta distributions and the distribution function as a mixture of Incomplete Beta Functions. ' r 2 ( 2 i -

An efficient algorithm for computing qua
✍ Cherng G. Ding πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 81 KB

An e cient algorithm is provided for computing quantiles of the noncentral chi-squared distribution. Newton's method, which requires the evaluations of both of the noncentral chi-squared distribution function and the density, is used. A close relationship between their recursive computing formulas i