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Computation of the regularized incomplete Beta function

Abstract: An algorithm for the computation of the regularized incomplete Beta function is described. This function has important applications in areas such as Statistics, Physics and Information Theory. The computation of the function can be carried out through a continued function evaluation supplemented with series and asymptotic expansions when both parameters are large. Numerical tests demonstrate the accuracy of the algorithm and show that our algorithm is more accurate than Matlab?s built-in function betainc for a wide range of parameters.

 Autoría: Egorova V., Gil A., Segura J., Temme N.M.,

 Fuente: Dolomites Research Notes on Approximation, 2023, 16(3), 10-16

Editorial: Padova University Press

 Fecha de publicación: 01/08/2023

Nº de páginas: 7

Tipo de publicación: Artículo de Revista

 DOI: 10.14658/PUPJ-DRNA-2023-3-3

ISSN: 2035-6803

Proyecto español: PGC2018-098279-B-I00

Autores/as

NICOLAAS MARIA TEMME