Some combinatorial structures in experimental design: overview, statistical models and applications

Abstract

Design of experiments (DOE) is an important branch of applied statistics that deals with planning, conducting of the experiment, analyzing and interpreting final results. It combines mathematical and statistical tools, which aim at constructing optimal designs to be tested. Due to the widely application during recent decades, this science is strongly spread in many areas such as optimization, process quality control as well as product performance prediction.