GRAPHICAL METHODS FOR THE DESIGN OF EXPERIMENTS (Broché)

Russell-R Barton

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  • Springer

  • Paru le : 27/10/1999
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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 the Design of Experiments 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, and require only some familiarity with the plotting of functions and with the concept of projection from elementary mechanical drawing.
    • Planning for a designed experiment
    • Design-plots for factorial and fractional-factorial designs
    • Designing experiments graphically
    • Assessing experiment designs
    • Presenting results graphically
  • Date de parution : 27/10/1999
  • Editeur : Springer
  • Collection : lecture notes in statistics
  • ISBN : 0-387-94750-7
  • EAN : 9780387947501
  • Présentation : Broché
  • Nb. de pages : 193 pages
  • Poids : 0.315 Kg
  • Dimensions : 15,5 cm × 23,5 cm × 1,3 cm

Biographie de Russell-R Barton

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. He has published more than fifty technical papers in simulation, applied statistics, and the design of experiments, and he has presented many industrial seminars on graphical methods for the design of experiments. He has received six awards for teaching and curriculum development since arriving at Penn State in 1990.

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