Yimei Tangguo; She Cong Ge; Su Min; Hong Niangzi; Zhou Dedong; Nanpai Sanshu; Cai Jun; Chi Hui; Chu Xidao; Chuan Ge Solaris (2024) Pehmeäkantinen kirja
Hong-zhou Wu; Lan-qing Liu; Ren Zhang; Yan-qian Xiao; Min Chen; Xiao-heng Shen; Xiang Xia; Lijiang Zhu; Huang Huang; Ya World Century (2013) Pehmeäkantinen kirja
Zhisheng You (ed.); Jie Zhou (ed.); Yunhong Wang (ed.); Zhenan Sun (ed.); Shiguang Shan (ed.); Weishi Zheng (ed.); J Feng Springer (2016) 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.
