Abstract
In this chapter, we explore the use of permutation methods for analyzing the results of complex experimental designs that may involve multiple control variables, covariates, and restricted randomization.
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© 2000 Springer Science+Business Media New York
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Good, P. (2000). Experimental Designs. In: Permutation Tests. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3235-1_4
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DOI: https://doi.org/10.1007/978-1-4757-3235-1_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3237-5
Online ISBN: 978-1-4757-3235-1
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