Some results on constructing two-level block designs with general minimum lower order confounding
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1337148
Abstract: ABSTRACT Block designs are widely used in experimental situations where the experimental units are heterogeneous. The blocked general minimum lower order confounding (B-GMC) criterion is suitable for selecting optimal block designs when the experimenters have… read more here.
Keywords: block; block designs; general minimum; lower order ... See more keywords
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