Maximum likelihood analysis for heteroscedastic one-way random effects ANOVA in interlaboratory studies.
This article presents results for the maximum likelihood analysis of several groups of measurements made on the same quantity. Following Cochran (1937, Journal of the Royal Statistical Society 4(Supple), 102-118; 1954, Biometrics 10, 101-129; 1980, in Proceedings of the 25th Conference on the Design of Experiments in Army Research, Development and Testing, 21-33) and others, this problem is formulated as a one-way unbalanced random-effects ANOVA with unequal within-group variances. A reparametrization of the likelihood leads to simplified computations, easier identification and interpretation of multimodality of the likelihood, and (through a non-informative-prior Bayesian approach) approximate confidence regions for the mean and between-group variance.
Vangel
M G
MG
Statistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-0001, USA. vangel@cam.nist.gov
Rukhin
A L
AL
D000704:Analysis of Variance; D001499:Bayes Theorem; D001699:Biometry; D016001:Confidence Intervals; D007753:Laboratories / Q000706:statistics & numerical data; D016013:Likelihood Functions