首页    期刊浏览 2024年12月04日 星期三
登录注册

文章基本信息

  • 标题:D-Optimal Slope Design for Second Degree Kronecker Model Mixture Experiment With Three Ingredients
  • 本地全文:下载
  • 作者:Ngigi Peter Kung’u ; J. K. Arap Koske ; Josphat K. Kinyanjui
  • 期刊名称:International Journal of Statistics and Probability
  • 印刷版ISSN:1927-7032
  • 电子版ISSN:1927-7040
  • 出版年度:2020
  • 卷号:9
  • 期号:2
  • 页码:30-37
  • DOI:10.5539/ijsp.v9n2p30
  • 语种:English
  • 出版社:Canadian Center of Science and Education
  • 摘要:This study presents an investigation of an optimal slope design in the second degree Kronecker model for mixture experiments in three dimensions. The study is restricted to weighted centroid designs, with the second degree Kronecker model. A well-defined coefficient matrix is used to select a maximal parameter subsystem for the model since its full parameter space is inestimable. The information matrix of the design is obtained using a linear function of the moment matrices for the centroids and directly linked to the slope matrix. The discussion is based on Kronecker product algebra which clearly reflects the symmetries of the simplex experimental region. Eventually the matrix means are used in determining optimal values of the efficient developed design.
  • 关键词:information matrix; moment matrix; optimal design; response surface methodology; weighted centroid design; Kiefer ordering
国家哲学社会科学文献中心版权所有