Design and Analysis of Experiments, Volume 1 (eBook)

This user-friendly new edition reflects a modern and accessible
approach to experimental design and analysis

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.

This Second Edition continues to provide the theoretical basis
of the principles of experimental design in conjunction with the
statistical framework within which to apply the fundamental
concepts. The difference between experimental studies and
observational studies is addressed, along with a discussion of the
various components of experimental design: the error-control
design, the treatment design, and the observation design. A series
of error-control designs are presented based on fundamental design
principles, such as randomization, local control (blocking), the
Latin square principle, the split-unit principle, and the notion of
factorial treatment structure. This book also emphasizes the
practical aspects of designing and analyzing experiments and
features:

* Increased coverage of the practical aspects of designing and
analyzing experiments, complete with the steps needed to plan and
construct an experiment

* A case study that explores the various types of interaction
between both treatment and blocking factors, and numerical and
graphical techniques are provided to analyze and interpret these
interactions

* Discussion of the important distinctions between two types of
blocking factors and their role in the process of drawing
statistical inferences from an experiment

* A new chapter devoted entirely to repeated measures,
highlighting its relationship to split-plot and split-block
designs

* Numerical examples using SAS® to illustrate the analyses of
data from various designs and to construct factorial designs that
relate the results to the theoretical derivations

Design and Analysis of Experiments, Volume 1, Second Edition is
an ideal textbook for first-year 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, pharmacology,
psychology, and business.