A statistician designing an experiment wants to get as much information as possible from the
data gathered. Often this means the most precise estimate possible (that is, an estimate with …

Two-colour microarray experiments form an important tool in gene expression analysis. Due
to the high risk of missing observations in microarray experiments, it is fundamental to …

An incomplete-block design defines both a concurrence graph and a Levi graph. Properties
of either graph can be used to compare designs with respect to D-optimality and with respect …

In scientific investigations, there are many situations where each two experimental units
have to be grouped into a block of size two. For planning such experiments, the variance …

Designs with blocks of size two have numerous applications. In experimental situations
where observation loss is common, it is important for a design to be robust against …

In experimental situations where observation loss is common, it is important for a design to
be robust against breakdown. For incomplete block designs, with one treatment factor and a …

Criteria are proposed for assessing the robustness of a binary block design against the loss
of whole blocks, based on summing entries of selected upper non‐principal sections of the …

In scientific experiments where human behaviour or animal response is intrinsically
involved, such as clinical trials, there is a strong possibility of recording missing values …

Heuristic techniques of optimization can be useful in designing complex experiments, such
as microarray experiments. They have advantages over the traditional methods of …

The usual procedure for indentifying the block design to be connected is rank of C matrix
(information matrix) should be (v-1), if this violates then design becomes disconnected …