Design of Experiments: A Modern Approach introduces readers to
planning and conducting experiments, analyzing the resulting data, and
obtaining valid and objective conclusions. This innovative textbook uses
design optimization as its design construction approach, focusing on
practical experiments in engineering, science, and business rather than
orthogonal designs and extensive analysis. Requiring only first-course
knowledge of statistics and familiarity with matrix algebra,
student-friendly chapters cover the design process for a range of
various types of experiments.
The text follows a traditional outline for a design of experiments
course, beginning with an introduction to the topic, historical notes, a
review of fundamental statistics concepts, and a systematic process for
designing and conducting experiments. Subsequent chapters cover simple
comparative experiments, variance analysis, two-factor factorial
experiments, randomized complete block design, response surface
methodology, designs for nonlinear models, and more. Readers gain a
solid understanding of the role of experimentation in technology
commercialization and product realization activities--including new
product design, manufacturing process development, and process
improvement--as well as many applications of designed experiments in
other areas such as marketing, service operations, e-commerce, and
general business operations.
