| 期刊全稱 | A Comprehensive Guide to Factorial Two-Level Experimentation | | 影響因子2023 | Robert Mee | | 視頻video | http://file.papertrans.cn/141/140326/140326.mp4 | | 發(fā)行地址 | Statistical design of experiments is useful in virtually every quantitative field.Use of the simplest experimental designs is pervasive.Practitioners interested in expanding their repertoire of tools | | 圖書封面 |  | | 影響因子 | .Factorial designs enable researchers to experiment with many factors. The 50 published examples re-analyzed in this guide attest to the prolific use of two-level factorial designs. As a testimony to this universal applicability, the examples come from diverse fields: Analytical Chemistry, Animal Science, Automotive Manufacturing, Ceramics and Coatings, Chromatography, Electroplating, Food Technology, Injection Molding, Marketing, Microarray Processing, Modeling and Neural Networks, Organic Chemistry, Product Testing, Quality Improvement, Semiconductor Manufacturing, and Transportation...Focusing on factorial experimentation with two-level factors makes this book unique, allowing the only comprehensive coverage of two-level design construction and analysis. Furthermore, since two-level factorial experiments are easily analyzed using multiple regression models, this focus on two-level designs makes the material understandable to a wide audience. This book is accessible to non-statisticians having a grasp of least squares estimation for multiple regression and exposure to analysis of variance. ..."This book contains a wealth of information, including recent results on the design of t | | Pindex | Book 2009 |
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