On the Distribution of a Quadratic Form in Normal Variates

Authors

  • Jin Zhang Yunnan University

DOI:

https://doi.org/10.57805/revstat.v16i3.245

Keywords:

eigenvalues, idempotent matrices, moment-generating function, normality

Abstract

It is a well-known theorem in linear models that the idempotency of a matrix is a sufficient and necessary condition for a quadratic form in normal variates to have a chisquare distribution, but its proofs in the early literature were incorrect or incomplete. Driscoll (1999) provided an improved proof, and this article presents a simple proof. More importantly, we establish and prove a generalized theorem.

Published

2018-07-09

How to Cite

Zhang , J. (2018). On the Distribution of a Quadratic Form in Normal Variates. REVSTAT-Statistical Journal, 16(3), 315–322. https://doi.org/10.57805/revstat.v16i3.245