Marcum Q-function

In statistics, the Marcum-Q-function Q_M is defined as

Q_M (a,b) = \int_{b}^{\infty} x \left( \frac{x}{a}\right)^{M-1} \exp \left( -\frac{x^2 + a^2}{2} \right) I_{M-1} \left( a x \right) dx

Q_M is also defined as

Q_M (a,b) = \exp \left( -\frac{a^2 + b^2}{2} \right) \sum_{k=1-M}^{\infty} \left( \frac{a}{b}\right)^{k}  I_{k} \left( a b \right)

with modified Bessel function I_{M-1} of order M  1. The Marcum Q-function is used for example as a cumulative distribution function (more precisely, as a survivor function) for noncentral chi, noncentral chi-squared and Rice distributions.

The Marcum Q-function is monotonic and log-concave.[1]

References

  1. Yin Sun, Árpád Baricz, and Shidong Zhou (2010) On the Monotonicity, Log-Concavity, and Tight Bounds of the Generalized Marcum and Nuttall Q-Functions. IEEE Transactions on Information Theory, 56(3), 1166-1186, ISSN 0018-9448


This article is issued from Wikipedia - version of the Tuesday, April 26, 2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.