Graphical Methods for the Design of Experiments

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Graphical Methods for the Design of Experiments by Russell R. Barton, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Russell R. Barton ISBN: 9781461213987
Publisher: Springer New York Publication: December 6, 2012
Imprint: Springer Language: English
Author: Russell R. Barton
ISBN: 9781461213987
Publisher: Springer New York
Publication: December 6, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Subcortical Structures and Cognition by Russell R. Barton
Cover of the book Prehistoric Archaeology on the Continental Shelf by Russell R. Barton
Cover of the book Rorschach Assessment of Adolescents by Russell R. Barton
Cover of the book An Anthropology of Absence by Russell R. Barton
Cover of the book Handbook of Food Factory Design by Russell R. Barton
Cover of the book The Archaeology of Watercraft Abandonment by Russell R. Barton
Cover of the book The Catalyzing Mind by Russell R. Barton
Cover of the book Tallgrass Prairie Restoration in the Midwestern and Eastern United States by Russell R. Barton
Cover of the book Fertility Regulation and the Public Health by Russell R. Barton
Cover of the book Handbook of Career Development by Russell R. Barton
Cover of the book The Mathematics of Frobenius in Context by Russell R. Barton
Cover of the book Overview of Cardiac Surgery for the Cardiologist by Russell R. Barton
Cover of the book Endothelial Signaling in Development and Disease by Russell R. Barton
Cover of the book A Cp-Theory Problem Book by Russell R. Barton
Cover of the book Community-Based Participatory Research for Improved Mental Healthcare by Russell R. Barton
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy