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Offering deep insight into the connections between design choice and the resulting statistical analysis, this text explores how experiments are designed using the language of linear statistical models. It presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models. The text describes specific forms or classes of experimental designs, incorporates actual experiments drawn from the scientific and technical literature, and includes many end-of-chapter exercises. Calculations are performed using R, with commands provided in an appendix. A solutions manual is available upon qualified course adoption.
This entertaining collection gathers together William Shakespeare's wisest and wittiest quotations. Quotable Shakespeare proves that brevity is the soul of wit and is sure to delight all lovers of the Bard's uniquely perceptive and influential works.
Offering insight into the connections between design choice and the resulting statistical analysis, this book explores how experiments are designed using the language of linear statistical models. It also discusses factorial group screening experiments, regression model design, and an introduction to optimal design.
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