On the computation of the noncentral F and noncentral beta distribution

Statistics and Computing volume 18, pages333–340(2008)Cite this article

Abstract

Unfortunately many of the numerous algorithms for computing the comulative distribution function (cdf) and noncentrality parameter of the noncentral F and beta distributions can produce completely incorrect results as demonstrated in the paper by examples. Existing algorithms are scrutinized and those parts that involve numerical difficulties are identified. As a result, a pseudo code is presented in which all the known numerical problems are resolved. This pseudo code can be easily implemented in programming language C or FORTRAN without understanding the complicated mathematical background.

Symbolic evaluation of a finite and closed formula is proposed to compute exact cdf values. This approach makes it possible to check quickly and reliably the values returned by professional statistical packages over an extraordinarily wide parameter range without any programming knowledge.

This research was motivated by the fact that a very useful table for calculating the size of detectable effects for ANOVA tables contains suspect values in the region of large noncentrality parameter values compared to the values obtained by Patnaik’s 2-moment central-F approximation. The cause is identified and the corrected form of the table for ANOVA purposes is given. The accuracy of the approximations to the noncentral-F distribution is also discussed.

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Affiliations

  1. Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest, 1521, Hungary

    Ali Baharev & Sándor Kemény

Authors
  1. Ali Baharev
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  2. Sándor Kemény
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Corresponding author

Correspondence to Ali Baharev.

Additional information

The authors wish to thank Mr. Richárd Király for his preliminary work. The authors are grateful to the Editor and Associate Editor of STCO and the unknown reviewers for their helpful suggestions.

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Baharev, A., Kemény, S. On the computation of the noncentral F and noncentral beta distribution. Stat Comput 18, 333–340 (2008). https://doi.org/10.1007/s11222-008-9061-3

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Keywords

  • Minimal detectable differences
  • ANOVA
  • Noncentrality parameter
  • Central-F approximations to noncentral F
  • Recursive algorithms
  • Symbolic computation