On the analysis of experiments in affine resolvable designs
The paper gives explicit formulae for analysing an experiment carried out in an affine resolvable proper block design. They follow from a randomization model, decomposed into stratum submodels. Analyses within the four relevant strata, and then the combined analysis, are considered in details. The p...
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Published in | Journal of statistical planning and inference Vol. 138; no. 11; pp. 3350 - 3356 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2008
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Subjects | |
Online Access | Get full text |
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Summary: | The paper gives explicit formulae for analysing an experiment carried out in an affine resolvable proper block design. They follow from a randomization model, decomposed into stratum submodels. Analyses within the four relevant strata, and then the combined analysis, are considered in details. The paper is essentially an extension of some results presented in recent books, by Caliński and Kageyama [2000. Block Designs: A Randomization Approach, Volume I: Analysis. Lecture Notes in Statistics, vol. 150. Springer, New York; 2003. Block Designs: A Randomization Approach, Volume II: Design. Lecture Notes in Statistics, vol. 170. Springer, New York]. |
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ISSN: | 0378-3758 1873-1171 |
DOI: | 10.1016/j.jspi.2007.04.036 |