Design and Analysis of Experiments (Innbundet)


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Innbinding: Innbundet
Utgivelsesår: 2012
Antall sider: 2012
Forlag: John Wiley & Sons Inc
Språk: Engelsk
ISBN/EAN: 9781118533833
Omtale: Design and Analysis of Experiments
This user-friendly 3-volume set reflects a modern and accessible approach to experimental design and analysis. This set includes all three volumes of Klaus Hinkelmann's "Design and Analysis of Experiments" books. These include: Design and Analysis of Experiments, Volume 1, introduction to Experimental Design, 2nd Edition Design and Analysis of Experiments, Volume 2, Advanced Experimental Design Design and Analysis of Experiments, Volume 3, Special Designs and Applications All the books are available for individual purchase or you can order the full set. Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions.
Design and Analysis of Experiments, Volume 2 provides more detail about aspects of error control and treatment design, with emphasis on their historical development and practical significance, and the connections between them. Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Each volume is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business.

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