There are many instances in the statistical literature in which inference i
s based on a normalized quadratic form in a standard normal vector, normali
zed by the squared length of that vector. Examples include both test statis
tics (the Durbin-Watson statistic) and estimators (serial correlation coeff
icients). Although much studied, no general closed-form expression for the
density function of such a statistic is known, This paper gives general for
mulae for the density in each open interval between the characteristic root
s of the matrix involved. Results are given for the case of distinct roots,
which need not be assumed positive, and when the roots occur with multipli
cities greater than one. Starting from a representation of the density as a
surface integral over an (n - 2)-dimensional hyperplane, the density is ex
pressed in terms of top-order zonal polynomials involving difference quotie
nts of the characteristic roots of the matrix in the numerator quadratic fo
rm.