Except in special cases, the distribution of a quadratic form Q in the normal random vector y cannot be expressed in closed form. However, bounds on the cumulative distribution of Q have been obtained by many authors. This article derives a new class of such bounds by means of a certain mixture representation for the distribution of Q. It is shown how the results apply to the problem of finding the distribution of ratios of independent quadratic forms in normal variates.
No takes yet. Share an insight, caveat, or question.
Leon Jay Gleser (1972) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: