General Minimum Lower-Order Confounding Designs with Multi-Block Variables
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DOI: 10.1155/2021/5548102
Abstract: Blocking the inhomogeneous units of experiments into groups is an efficient way to reduce the influence of systematic sources on the estimations of treatment effects. In practice, there are two types of blocking problems. One… read more here.
Keywords: block variables; block; general minimum; multi block ... See more keywords