Algorithms for the inversion of the noncentral beta distribution function

Abstract Two distinct algorithms are presented to address inversion problems associated with the noncentral beta distribution function, $$B_{p,q}(x,y)$$ . These algorithms correspond to two types of inversion: a) Inversion with respect to x : in this case, the noncentrality parameter of the distribution function is estimated. b) Inversion with respect to y : here, the goal is to compute the quantiles of the noncentral beta distribution. The algorithms combine asymptotic approximations–used to estimate initial values when applicable–with efficient iterative methods for solving the resulting nonlinear equations. Extensive testing indicates that our algorithms (implemented in Matlab) outperform existing implementations and, in the case of the algorithm for computing the noncentrality parameter, fills a gap in current mathematical software libraries.

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Publication Details

Journal
Numerical Algorithms
Published
2025-12-02
DOI
https://doi.org/10.1007/s11075-025-02274-8
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithms for the inversion of the noncentral beta distribution function

Vera N. Egorova, Amparo Gil, Nico Μ. Τemme, Javier Segura
Numerical Algorithms
Mathematical functions and polynomials
article

Algorithms for the inversion of the noncentral beta distribution function

Vera N. Egorova, Amparo Gil, Nico Μ. Τemme, Javier Segura
article en

Abstract

Abstract Two distinct algorithms are presented to address inversion problems associated with the noncentral beta distribution function, $$B_{p,q}(x,y)$$ . These algorithms correspond to two types of inversion: a) Inversion with respect to x : in this case, the noncentrality parameter of the distribution function is estimated. b) Inversion with respect to y : here, the goal is to compute the quantiles of the noncentral beta distribution. The algorithms combine asymptotic approximations–used to estimate initial values when applicable–with efficient iterative methods for solving the resulting nonlinear equations. Extensive testing indicates that our algorithms (implemented in Matlab) outperform existing implementations and, in the case of the algorithm for computing the noncentrality parameter, fills a gap in current mathematical software libraries.

Numerical Algorithms
Universidad de Cantabria (ES), Medisch Centrum Alkmaar (NL)
Agencia Estatal de Investigación
Openalex Percentile: Top 50%
Mathematical functions and polynomials
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