The increasing cost of research means that scientists are in more
urgent need of optimal design theory to increase the efficiency of
parameter estimators and the statistical power of their tests.
The objectives of a good design are to provide interpretable and
accurate inference at minimal costs. Optimal design theory can help
to identify a design with maximum power and maximum information for
a statistical model and, at the same time, enable researchers to
check on the model assumptions.
This Book: Introduces optimal experimental design in an
accessible format.Provides guidelines for practitioners to increase
the efficiency of their designs, and demonstrates how optimal
designs can reduce a study's costs.Discusses the merits of optimal
designs and compares them with commonly used designs.Takes the
reader from simple linear regression models to advanced designs for
multiple linear regression and nonlinear models in a systematic
manner.Illustrates design techniques with practical examples from
social and biomedical research to enhance the reader's
understanding.
Researchers and students studying social, behavioural and
biomedical sciences will find this book useful for understanding
design issues and in putting optimal design ideas to practice.
General
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