, as well as budget and time restrictions. Next to the split-plot and the split-split-plot design, the staggered … in comparison to the split-plot and the split-split-plot design. In this paper, we investigate whether the benefits of …

Questo lavoro illustra il disegno sperimentale split-plot ponendo l’attenzione allo sviluppo che questo piano … brevemente introdotto considerando la struttura “classica” del disegno split-plot e dell’analisi della varianza ad esso … paragrafo si introducono i primi elementi definitori del disegno split-plot; successivamente, tramite una breve rassegna, si …

/or cost constraints and to the hard-to-change nature of these factors. Most of the literature restricts the attention to split-plot … that the new designs are cost-efficient and that they outperform split-plot and split-split-plot designs in terms of … extent relaxed in split-split-plot designs because these require the least hard-to-change factors to be reset more often than …

I-optimal design of split-plot response surface experiments. We show through several examples that I-optimal split-plot … designs provide substantial benefits in terms of prediction compared to D-optimal split-plot designs, while also performing …

four-level minimum setup split-plot type designs to accommodate the presence of hard-to-assemble parts. Design …/methodology/approach Split-plot type designs are economical approaches in industrial experimentation. These types of designs are particularly … maximum aberration (MSMA) catalogs for two-level split-plot type designs may lead to inappropriate designs (e.g. low …

levels are hard or costly to change. In such cases, the split-plot design is a cost-efficient alternative that reduces the … for model estimation based on data from split-plot designs. However, the ordinary least squares estimator is equivalent to … the generalized least squares estimator for some split-plot designs, including some second-order split-plot response …

impossible to use a complete randomization. In such cases, the split-plot design structure is a cost-efficient alternative that … reduces the number of independent settings of the hard-to-change factors. In general, model estimation for split-plot designs … requires the use of generalized least squares (GLS). However, for some split-plot designs (including not only classical …

restricted randomization is a split-plot design, which is commonly used in industry when some experimental factors are harder to … change than others or when a two-stage production process is studied. Split-plot designs are also often used in robust …