Publisher description for Design and analysis of experiments / Angela Dean, Daniel Voss.
Bibliographic record and links to related information available from the Library of Congress catalog
Information from electronic data provided by the publisher. May be incomplete or contain other coding.
The design and analysis of experiments is an essential part of
investigation and discovery in science, of process and product
improvement in manufacturing, and of comparison of competing protocols
or treatments in the applied sciences. This book offers a step by step
guide to the experimental planning process and the ensuing analysis of
normally distributed data.
Design and Analysis of Experiments emphasizes the practical
considerations governing the design of an experiment based on the
objectives of the study and a solid statistical foundation for the
analysis. Almost all data sets in the book have been obtained from
real experiments, either run by students in statistics and the applied
sciences, or published in the scientific literature. Details of the
planning stage of numerous different experiments are discussed. The
statistical analysis of experimental data is based on estimable
functions and is developed with some care.
Design and Analysis of Experiments starts with basic principles and
techniques of experimental design and analysis of experiments. It
provides a checklist for the planning of experiments, and explains the
estimation of treatment contrasts and analysis of variance. These
basics are then applied in a wide variety of settings. Designs covered
include completely randomized designs, complete and incomplete block
designs, row-column designs, single replicate designs with
confounding, fractional factorial designs, response surface designs,
and designs involving nested factors and factors with random effects,
including split-plot designs.
The book is accessible to all readers who have a good basic knowledge
of expected values, confidence intervals and hypothesis tests. It is
ideal for use in the classroom at both the senior undergraduate and
the graduate level. A guide to the use of the SAS System computer
Library of Congress subject headings for this publication: