Tai-hoon Kim; Hojjat Adeli; Wai-chi Fang; Thanos Vasilakos; Adrian Stoica; Charalampos Z. Patrikakis; Gansen Zhao; Villal Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Pehmeäkantinen kirja
Tai-hoon Kim; Jianhua Ma; Wai-Chi Fang; Byungjoo Park; Byeong Ho Kang; Dominik Slezak Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Tai-hoon Kim (ed.); Hojjat Adeli (ed.); Jianhua Ma (ed.); Wai-chi Fang (ed.); Byeong-Ho Kang (ed.); Byungjoo Park (ed.) Springer (2011) Pehmeäkantinen kirja
Dominik Slezak; William I. Grosky; Niki Pissinou; Timothy K. Shih; Tai-hoon Kim; Byeong-Ho Kang Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Pehmeäkantinen kirja
Tai-hoon Kim; Adrian Stoica; Wai-chi Fang; Thanos Vasilakos; Javier Garcia Villalba; Kirk P. Arnett; Muhamma Khurram Khan Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Marcin S. Szczuka; Daniel Howard; Dominik Slezak; Haeng-kon Kim; Tai-hoon Kim; Il-seok Ko; Geuk Lee; Peter M.A. Sloot Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Pehmeäkantinen kirja
Tai-hoon Kim; Dae-sik Ko; Thanos Vasilakos; Adrian Stoica; Jemal Abawajy Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction methods of uniform designs, modeling techniques, design and modeling for experiments with mixtures, and the usefulness of the uniformity in block, factorial and supersaturated designs.
Experimental design is an important branch of statistics with a long history, and is extremely useful in multi-factor experiments. Involving rich methodologies and various designs, it has played a key role in industry, technology, sciences and various other fields. A design that chooses experimental points uniformly scattered on the domain is known as uniform experimental design, and uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space-filling design for computer experiments, a robust design against the model specification, and a supersaturated design and can be applied to experiments with mixtures.