Results 281 to 290 of about 4,561,954 (333)
Integration of Design of Experiments, Analysis of Variance and Response Surface Methodology in Assessing Heterogeneous Catalysts Processes: A Minireview. [PDF]
ChemistryOpenAristizábal-Alzate CE +3 more
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A Design of Experiments Approach to the Radical-Induced Oxidation of Dimeric C4-C8 Linked B-Type Procyanidins. [PDF]
MoleculesFischer A, Gök R, Esatbeyoglu T.
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The optimal formulation of a readily compostable horticultural growing substrate for vertical farming was determined using design of experiments. [PDF]
Sci RepRomo JM +3 more
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Development of an HPLC-UV method for quantification of posaconazole in low-volume plasma samples: design of experiments and machine learning models. [PDF]
BMC ChemBayat F +5 more
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2010
In several research areas, such as biology, chemistry, or material science, experimentation is complex, very expensive and time consuming, so an efficient plan of experimentation is essential to achieve good results and avoid unnecessary waste of resources. An accurate statistical design of the experiments is important also to tackle the uncertainty in
C. Yuangyai, H.B. Nembhard
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In several research areas, such as biology, chemistry, or material science, experimentation is complex, very expensive and time consuming, so an efficient plan of experimentation is essential to achieve good results and avoid unnecessary waste of resources. An accurate statistical design of the experiments is important also to tackle the uncertainty in
C. Yuangyai, H.B. Nembhard
+6 more sources
2015
Design of Experiments (DOE) is an approach used to model systems or processes. The goals of the DOE approach are to conduct the upfront analyses to determine what responses are important to system or process improvement, predict factors that may affect those responses, and model the relationships between the factors and the responses and between the ...
Kandethody M. Ramachandran +1 more
+4 more sources
Design of Experiments (DOE) is an approach used to model systems or processes. The goals of the DOE approach are to conduct the upfront analyses to determine what responses are important to system or process improvement, predict factors that may affect those responses, and model the relationships between the factors and the responses and between the ...
Kandethody M. Ramachandran +1 more
+4 more sources
Design of Experiments—Complex Designs
2004In this chapter we introduce some additional topics in experimental design beyond those discussed in Chapters 6, 12, and 13. The principle of confounding is used to design efficient experiments having many factors but using only a small subset of all possible treatment combinations.
Richard M. Heiberger, Burt Holland
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Design of Experiments—Factorial Designs
2004Designs are often described by the number of factors. Chapter 6, “One-Way Analysis of Variance”, discusses designs with one factor. Chapter 12, “Two-Way Analysis of Variance”, discusses designs with two factors. More generally, we speak of “three-way” or “higher-way” designs and talk about main effects (one factor), two-way interactions (two factors ...
Richard M. Heiberger, Burt Holland
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2012
Design of experiments is introduced and its development from its birth within the statistics environment to its role in optimization is briefly described. Several DOE techniques are presented from a theoretical point of view after having introduced the terminology which is used in this field.
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Design of experiments is introduced and its development from its birth within the statistics environment to its role in optimization is briefly described. Several DOE techniques are presented from a theoretical point of view after having introduced the terminology which is used in this field.
+4 more sources