MIXTURE DESIGNS FOR Q-COMPONENTS IN ORTHOGONAL BLOCKS
成果类型：
Article
署名作者：
LEWIS, SM; DEAN, AM; DRAPER, NR; PRESCOTT, P
署名单位：
University of Wisconsin System; University of Wisconsin Madison; University System of Ohio; Ohio State University
刊物名称：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
ISSN/ISSBN：
1369-7412
发表日期：
1994
页码：
457-467
关键词：
摘要：
In industrial experimentation designs are needed to estimate the effects of mixture components independently of process variables. This paper gives general methods of constructing designs for q greater-than-or-equal-to 3 mixture components in two or more orthogonal blocks. The designs are built from Latin squares with specific properties and are generalizations of those for four and five components given by Draper and co-workers and Prescott and co-workers respectively.