書目名稱 | Optimum Designs for Multi-Factor Models |
編輯 | Rainer Schwabe |
視頻video | http://file.papertrans.cn/704/703367/703367.mp4 |
叢書名稱 | Lecture Notes in Statistics |
圖書封面 |  |
描述 | In real applications most experimental situations are influenced by a large number of different factors. In these settings the design of an experiment leads to challenging optimization problems, even if the underlying relationship can be described by a linear model. Based on recent research, this book introduces the theory of optimum designs for complex models and develops general methods of reduction to marginal problems for large classes of models with relevant interaction structures. |
出版日期 | Book 1996 |
關(guān)鍵詞 | Factor; Partition; Variance; addition; design; interaction; matrices; model; optimization; review |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4612-4038-9 |
isbn_softcover | 978-0-387-94745-7 |
isbn_ebook | 978-1-4612-4038-9Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
issn_series | 0930-0325 |
copyright | Springer-Verlag New York, Inc. 1996 |