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Introduction to Full Factorial Designs with Two-Level Factors
2009Factorial experiments with two-level factors are used widely because they are easy to design, efficient to run, straightforward to analyze, and full of information. This chapter illustrates these benefits. The standard regression models for summarizing data from full factorial experiments are introduced, and an example is given to illustrate the ...
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Planning for post‐pandemic cancer care delivery: Recovery or opportunity for redesign?
Ca-A Cancer Journal for Clinicians, 2021Pelin Cinar +2 more
exaly
Application of Full Factorial Design to Coal Cleaning by MGS
2018Çalışmada düşük ranklı, yüksek kül ve kükürtiçerikli Çayırhan Bölgesi linyitlerinin fiziksel yöntemlerlezenginleştirilebilirliği araştırılmıştır. Zenginleştirmede kullanılan MGS’nin tamburhızı, frekans ve genlik parametrelerinin elde edilen temiz kömürün külü ve yanabilirverimi üzerindeki etkileri irdelenmiştir.
OLUKLULU, Semih, KOCA, Sabiha
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From taguchi’s orthogonal arrays to full factorial designs and back
2019BACKGROUND Experimentation by means of Taguchi’s orthogonal arrays is frequently used both in exploration and industrial practice, as the way of application of Taguchi’s off-line quality control. In addition, traditional factorial designs are in use for the same purpose. Both approaches have certain advantages and disadvantages in their application. It
Veljković, Zorica +2 more
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