Abstract
In any statistical experiment, if the number of factors affecting the yield under study is large, then standard designs cannot be used due to the nonavailability of a large number of homogeneous plots. Such situations warrant the study of factorial experiments, which can accommodate a large number of factors influencing the yield.
All we know about the world teaches us that the effects of A and B are always different—in some decimal place—for any A and B. Thus asking “are the effects different?” is foolish
—J.W. Tukey
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Madhyastha, N.R.M., Ravi, S., Praveena, A.S. (2020). Factorial Experiments. In: A First Course in Linear Models and Design of Experiments. Springer, Singapore. https://doi.org/10.1007/978-981-15-8659-0_5
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DOI: https://doi.org/10.1007/978-981-15-8659-0_5
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