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On the Distribution of a Quadratic Form in Normal Variates

Jin Zhang

Revstat Statistical Journal · 2018

doi:10.57805/revstat.v16i3.245 (opens in a new tab)

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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.

Abstract licence: CC BY

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