Non-central generalized F distributions

Célia Nunes; João Tiago Mexia

Discussiones Mathematicae Probability and Statistics (2006)

  • Volume: 26, Issue: 1, page 47-61
  • ISSN: 1509-9423

Abstract

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The quotient of two linear combinations of independent chi-squares will have a generalized F distribution. Exact expressions for these distributions when the chi-square are central and those in the numerator or in the denominator have even degrees of freedom were given in Fonseca et al. (2002). These expressions are now extended for non-central chi-squares. The case of random non-centrality parameters is also considered.

How to cite

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Célia Nunes, and João Tiago Mexia. "Non-central generalized F distributions." Discussiones Mathematicae Probability and Statistics 26.1 (2006): 47-61. <http://eudml.org/doc/277032>.

@article{CéliaNunes2006,
abstract = {The quotient of two linear combinations of independent chi-squares will have a generalized F distribution. Exact expressions for these distributions when the chi-square are central and those in the numerator or in the denominator have even degrees of freedom were given in Fonseca et al. (2002). These expressions are now extended for non-central chi-squares. The case of random non-centrality parameters is also considered.},
author = {Célia Nunes, João Tiago Mexia},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {exact distributions; random non-centrality parameters; generalized F distributions; non-centrality parameters},
language = {eng},
number = {1},
pages = {47-61},
title = {Non-central generalized F distributions},
url = {http://eudml.org/doc/277032},
volume = {26},
year = {2006},
}

TY - JOUR
AU - Célia Nunes
AU - João Tiago Mexia
TI - Non-central generalized F distributions
JO - Discussiones Mathematicae Probability and Statistics
PY - 2006
VL - 26
IS - 1
SP - 47
EP - 61
AB - The quotient of two linear combinations of independent chi-squares will have a generalized F distribution. Exact expressions for these distributions when the chi-square are central and those in the numerator or in the denominator have even degrees of freedom were given in Fonseca et al. (2002). These expressions are now extended for non-central chi-squares. The case of random non-centrality parameters is also considered.
LA - eng
KW - exact distributions; random non-centrality parameters; generalized F distributions; non-centrality parameters
UR - http://eudml.org/doc/277032
ER -

References

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  1. [1] R.B. Davies, Algorithm AS 155: The distribution of a linear combinations of χ² random variables, Applied Statistics 29 (1980), 232-333. Zbl0473.62025
  2. [2] J.P. Imhof, Computing the distribution of quadratic forms in normal variables, Biometrika 48 (1961), 419-426. Zbl0136.41103
  3. [3] M. Fonseca, J.T. Mexia and R. Zmyślony, Exact distribution for the generalized F tests, Discussiones Mathematicae Probability and Statistics 22 (2002), 37-51. Zbl1037.62004
  4. [4] D.W. Gaylor and F.N. Hopper, Estimating the degrees of freedom for linear combinations of mean squares by Satterthwaite's formula, Technometrics 11 (1969), 691-706. 
  5. [5] A. Michalski and R. Zmyślony, Testing hypothesis for variance components in mixed linear models, Statistics 27 (1996), 297-310. Zbl0842.62059
  6. [6] A. Michalski and R. Zmyślony, Testing hypothesis for linear functions of parameters in mixed linear models, Tatra Mountain Mathematical Publications 17 (1999), 103-110. Zbl0987.62012
  7. [7] H. Robbins, Mixture of distribution, The Annals of Mathematical Statistics 19 (1948), 360-369. Zbl0037.36301
  8. [8] H. Robbins and E.J.G. Pitman, Application of the method of mixtures to quadratic forms in normal variates, The Annals of Mathematical Statistics 20 (1949), 552-560. Zbl0036.20801
  9. [9] F.E. Satterthwaite, An approximate distribution of estimates of variance components, Biometrics Bulletin 2 (1946), 110-114. 

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