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Design of Experiments - An Introduction Based on Linear Models (Paperback)
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Design of Experiments - An Introduction Based on Linear Models (Paperback)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 12 - 19 working days
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Offering deep insight into the connections between design choice
and the resulting statistical analysis, Design of Experiments: An
Introduction Based on Linear Models explores how experiments are
designed using the language of linear statistical models. The book
presents an organized framework for understanding the statistical
aspects of experimental design as a whole within the structure
provided by general linear models, rather than as a collection of
seemingly unrelated solutions to unique problems. The core material
can be found in the first thirteen chapters. These chapters cover a
review of linear statistical models, completely randomized designs,
randomized complete blocks designs, Latin squares, analysis of data
from orthogonally blocked designs, balanced incomplete block
designs, random block effects, split-plot designs, and two-level
factorial experiments. The remainder of the text discusses
factorial group screening experiments, regression model design, and
an introduction to optimal design. To emphasize the practical value
of design, most chapters contain a short example of a real-world
experiment. Details of the calculations performed using R, along
with an overview of the R commands, are provided in an appendix.
This text enables students to fully appreciate the fundamental
concepts and techniques of experimental design as well as the
real-world value of design. It gives them a profound understanding
of how design selection affects the information obtained in an
experiment.
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