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Statistical design of experiments is useful in virtually every quantitative field. Two-level factorial designs, which are the focus of this book, provide the most efficient plans for exploring the effects of many factors at once. Engineers, physical scientists, and all who conduct experiments will find this book indispensible. The analysis of 50 published experiments from diverse fields gives the book broad appeal.

Produktbeschreibung
Statistical design of experiments is useful in virtually every quantitative field. Two-level factorial designs, which are the focus of this book, provide the most efficient plans for exploring the effects of many factors at once. Engineers, physical scientists, and all who conduct experiments will find this book indispensible. The analysis of 50 published experiments from diverse fields gives the book broad appeal.


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Autorenporträt
Robert Mee, University of Tennessee, Knoxville, TN, USA
Rezensionen
From the reviews:

"Robert Mee's new work on two-level factorial designs is an unusually good statistics book, which should be bought and read by anyone with even a passing interest in the subject. This book covers almost everything users of two-level factorial designs need to know. Experimenters, statistical consultants, and researchers will all learn a lot and find plenty of new ideas to think about. ...Careful thought has been given to how to describe every single topic. The result is a book that deserves to become a classic." (Biometrics)

"Mee's new book is ... a comprehensive guide to factorial two-level experimentation. ... I believe this book will help nonstatisticians and statisticians ... plan and analyze factorial experiments correctly. The breadth, depth, and clarity of this book make it a valuable asset for anyone using two-level of factorial designs. The large number of examples ... adds much to the book's utility. ... Overall, this is an excellent reference book ... . it should be in the library of anyone who uses two-level factorial designs." (Lewis VanBrackle, Technometrics, Vol. 52 (4), November, 2010)