Abstract
There are many experimental situations in which the experimental runs cannot be carried out under homogeneous conditions. For a more powerful analysis in these cases, the experiment is blocked so that each block is a homogeneous set of experimental units. In this chapter, it is assumed that the blocks are random and, hence, that the observations belonging to the same block are correlated.
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© 2002 Springer Science+Business Media New York
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Goos, P. (2002). Optimal Designs in the Presence of Random Block Effects. In: The Optimal Design of Blocked and Split-Plot Experiments. Lecture Notes in Statistics, vol 164. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0051-9_4
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DOI: https://doi.org/10.1007/978-1-4613-0051-9_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95515-5
Online ISBN: 978-1-4613-0051-9
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