Add to ORKGtextabstractIndustrial 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 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 agricultural split-plot designs, but also some second-order split-plot response surface designs), ordinary least squares (OLS) estimates are equivalent to GLS estimates. These designs are called equivalent-estimation designs and offer the advantage that...
Over the past decade, there have been rapid advances in the development of methods for the design an...
Common experimental practices suggest randomizing the order in which runs are performed. However, th...
<div><p>Many industrial experiments involve some factors whose levels are harder to set than others....
Industrial experiments often involve factors that are hard to change or costly to manipulate and thu...
Many industrial experiments use split-plot designs as a cost-efficient method of reducing the number...
In many industrial experiments, complete randomization of the runs is impossible as, often, they inv...
Several industrial experiments are set up using second-order split-plot designs (SPDs). These experi...
In many experimental settings, some experimental factors are very hard to change or very expensive t...
This article provides an overview of the recent literature on the design of blocked and split-plot e...
The design of split-plot experiments has received a considerable amount of attention during the last...
We introduce a new method for generating optimal split-plot designs. These designs are optimal in th...
Response surface experiments often involve only quantitative factors, and the response is fit using ...
In industrial experimentation, there is growing interest in studies that span more than one processi...
The study introduced an algorithm for generating optimal split-plot designs. The designs were consid...
Many existing methods for constructing optimal split-plot designs, such as D-optimal or A-optimal de...
Over the past decade, there have been rapid advances in the development of methods for the design an...
Common experimental practices suggest randomizing the order in which runs are performed. However, th...
<div><p>Many industrial experiments involve some factors whose levels are harder to set than others....
Industrial experiments often involve factors that are hard to change or costly to manipulate and thu...
Many industrial experiments use split-plot designs as a cost-efficient method of reducing the number...
In many industrial experiments, complete randomization of the runs is impossible as, often, they inv...
Several industrial experiments are set up using second-order split-plot designs (SPDs). These experi...
In many experimental settings, some experimental factors are very hard to change or very expensive t...
This article provides an overview of the recent literature on the design of blocked and split-plot e...
The design of split-plot experiments has received a considerable amount of attention during the last...
We introduce a new method for generating optimal split-plot designs. These designs are optimal in th...
Response surface experiments often involve only quantitative factors, and the response is fit using ...
In industrial experimentation, there is growing interest in studies that span more than one processi...
The study introduced an algorithm for generating optimal split-plot designs. The designs were consid...
Many existing methods for constructing optimal split-plot designs, such as D-optimal or A-optimal de...
Over the past decade, there have been rapid advances in the development of methods for the design an...
Common experimental practices suggest randomizing the order in which runs are performed. However, th...
<div><p>Many industrial experiments involve some factors whose levels are harder to set than others....