Skip to main content
Log in

On Moments of the Noncentral Chi Distribution

  • Published:
Sankhya A Aims and scope Submit manuscript

Abstract

The mean of a noncentral chi random variable is usually expressed in terms a hypergeometric function. On a 17 pages paper, Lawrence [Sankhyā A. https://doi.org/10.1007/s13171-021-00262-3] derived simpler expressions for the mean, involving the modified Bessel function of the first kind and the error function. We show here that these expressions follow immediately from known relationships between the hypergeometric and modified Bessel / error functions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

Download references

Author information

Authors and Affiliations

Authors

Contributions

SC wrote Section 1. The remaining sections were written by SN.

Corresponding author

Correspondence to Saralees Nadarajah.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nadarajah, S., Chan, S. On Moments of the Noncentral Chi Distribution. Sankhya A 85, 803–807 (2023). https://doi.org/10.1007/s13171-022-00278-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13171-022-00278-3

Keywords

PACS Nos

Navigation