| Graphical Methods for the Design of Experiments 1999 Edition Contributor(s): Barton, Russell R. (Author) |
|
 |
ISBN: 0387947507 ISBN-13: 9780387947501 Publisher: Springer OUR PRICE: $113.99 Product Type: Paperback Published: August 1999 Annotation: The design of experiments is recognized as a critical activity in scientific investigations and industrial quality management programs, but many texts on the design of experiments focus on the analysis of experimental data, not the creation of the design. Graphical Methods for Experimental Design presents a strategic view of the planning of experiments, and provides a number of graphical tools that are useful for justifying the effort required for experimentation, for identifying variables and candidate statistical models, for selecting the set of run conditions and for assessing the quality of the design. In addition, the graphical framework for creating fractional factorial designs is used to present experimental results in a fashion that can be easier to understand than a set of model coefficients. The text assumes a basic knowledge of statistics and matrices. Many of the graphical techniques are accessible without any knowledge of statistical models however, requiring only some familiarity with the plotting of functions and with the concept of projection from elementary mechanical drawing. Russell R. Barton is a Professor in the Department of Industrial and Manufacturing Engineering at the Pennsylvania State University. He spent ten years in industry before beginning his career in university teaching, continuing engineering education and research. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Medical |
| Dewey: 001.434 |
| LCCN: 99034026 |
| Series: Lecture Notes in Statistics |
| Physical Information: 0.45" H x 6.14" W x 9.21" (0.67 lbs) 196 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Graphical methods have played an important role in the statistical analysis of experimental data, but have not been used as extensively for experiment design, at least as it is presented in most design of experiments texts. Yet graphical methods are particularly attractive for the design of experiments because they exploit our creative right-brain capabilities. Creative activity is clearly important in any kind of design, certainly for the design ofan experiment. The experimenter must somehow select a set of run conditions that will meet the goals for a particular experiment in a cost-efficient way. Graphical Methods for Experiment Design goes beyond graphical methods for choosing run conditions for an experiment. It looks at the entire pre-experiment planning process, and presents in one place a collection of graphical methods for defining experiment goals, identifying and classifying variables, for choosing a model, for developing a design, and for assessing the adequacy of a design for estimating the unknown coefficients in the proposed statistical model. In addition, tools for developing a design also provide a platform for viewing the results of the experiment, a platform that provides insights that cannot be obtained by examination ofregression coefficients. These techniques can be applied to a variety of situations, including experimental runs of computer simulation models. Factorial and fractional-factorial designs are the focus of the graphical representations, although mixture experiments and experiments involving random effects and blocking are designed and represented in similar ways. |
