Graphical Methods for the Design of Experiments: 143 (Lecture Notes in Statistics, 143) - Softcover

Barton, Russell R.

Softcover

ISBN 10: 0387947507 ISBN 13: 9780387947501

Publisher: Springer, 1999

Synopsis

Most texts on the design of experiments focus on the analysis of experimental data, not on 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, identifying variables and candidate statistical models, 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 way that is easier to understand than a set of model coefficients. The text merely assumes a basic knowledge of statistics and matrices, while many of the graphical techniques are accessible without any knowledge of statistical models, requiring only some familiarity with the plotting of functions and with the concept of projection from elementary mechanical drawing.

About this title

Synopsis

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.

About this edition

• Publisher: Springer
• Publication date: 1999
• ISBN 10: 0387947507
• ISBN 13: 9780387947501
• Binding: Paperback
• Number of pages: 206