Results 291 to 300 of about 3,978,056 (320)
Rotable designs : construction and considerations in the robust design of experiments
, 1981 S. Huda
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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
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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
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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
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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.
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Journal of the Franklin Institute, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2020
Having an understanding of the factors that can bias or confound our experiments leads us to a consideration of the experimental design.
Michael Parkinson +1 more
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Having an understanding of the factors that can bias or confound our experiments leads us to a consideration of the experimental design.
Michael Parkinson +1 more
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1970
We shall discuss in this chapter some statistical methods for detecting changes in the response due to changes effected in the controllable variables assuming that the measurements are subject to random errors of measurement or changes in the unknown variables during the period of experimentation.
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We shall discuss in this chapter some statistical methods for detecting changes in the response due to changes effected in the controllable variables assuming that the measurements are subject to random errors of measurement or changes in the unknown variables during the period of experimentation.
openaire +1 more source