J Austral Math Soc Ser A 44 pp362--388, 1988.
(Received 1 October 1985; revised 5 January 1987)
Formulae are given for the variances and covariances for mean squares is anova under the broadest possible assumptions. The results of authors are obtained by specializing appropriately: these include ones concerning randomization and/or random sampling models, as well as additive (linear) models consisting of mutually independent sets of exchangeable effects. Although the illustrations given refer only to doubly and triply-indexed arrays, the approach is quite general. Particular attention is drawn to the generalized cumulants (and their natural unbiased estimators) which vanish when additive models are assumed.
1980 AMS Subject Classification: 62A05, 62J10
Last Modified: Wed Feb 19 10:27:48 2003