The split-plot design arose from agricultural science with experimental units, also known as
the subplots, nested within groups known as the whole plots. It assigns different …

Given two 2-level factors of interest, a 2^ 2 split-plot design}(a) takes each of the $2^ 2= 4$
possible factorial combinations as a treatment,(b) identifies one factor aswhole-plot,'(c) …

Randomization-based causal inference from split-plot designs Page 1 The Annals of Statistics
2018, Vol. 46, No. 5, 1876–1903 https://doi.org/10.1214/17-AOS1605 © Institute of Mathematical …

For example, most practitioners know a 23 full factorial design consists of three factors, each
at two levels, where all eight treatment combinations are studied. However, practitioners …

The split-plot design arises from agricultural sciences with experimental units, also known as
subplots, nested within groups known as whole plots. It assigns the whole-plot intervention …

If one conducts experiments, a good understanding of design of experiments can be
beneficial for maximizing the information one can obtain on a fixed budget. A split-plot …

With 1 figure and 10 tables Abstract Split‐plot designs play an important role in agricultural
field trials, particularly in plant breeding. Analysis of split‐plot experiments may be …

2. The other component is referred to as the experimental or design structure of the
experiment. This component illustrates how the experimental runs are to be carried out—for …

Industrial experiments often involve factors that are hard to change or costly to manipulate
and thus make it undesirable to use a complete randomization. In such cases, the split-plot …

In a split-plot experiment, the common assumption is that the same error variance applies to
all subplot treatments. This paper is concerned with tests of significance for the departure …