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Biometrika 1969 56(3):509-515; doi:10.1093/biomet/56.3.509
© 1969 by Biometrika Trust
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The analysis of variance for the two-way classification fixed-effects model with observations within a row serially correlated

W. A. LARSEN

Bell Telephone Laboratories Murray Hill, New Jersey

This paper considers a Bayesian approach to the two-way analysis of variance when the error terms within rows are not independent, but have a covariance matrix dependent on at most two unknown parameters. The posterior density for a linear contrast of row means is obtained. The robustness of the procedure to different priors on the serial correlation coefficient is also discussed.


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