Gene expression microarray experiments are intrinsically two-phase experiments. Messenger RNA (mRNA), required for the microarray experiment, must first be derived from plants or animals that are ...

In experiments for response estimation, algorithms developed for constructing D-optimal exact (integer replication) designs may be inappropriate when the number of observations is not large relative ...

Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...

Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...

Keywords: Design. Recommendations. Load and resistance factor design (LRFD). Seismic design. Bridges. Highways. Multispan continuous bridges. Cast-in-place concrete girders. Bearings. Elastomeric ...