Practical Guide to Experimental Design / Edition 1

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Over the last decade, Design of Experiments (DOE) has become established as a prime analytical and forecasting method with a vital role to play in product and process improvement. Now Practical Guide to Experimental Design lets you put this high-level statistical technique to work in your field, whether you are in the manufacturing or services sector. This accessible book equips you with all of the basic technical and managerial skills you need to develop, execute, and evaluate designed experiments effectively. You will develop a solid grounding in the statistical underpinnings of DOE, including distributions, analysis of variance, and more. You will also gain a firm grasp of full and fractional factorial techniques, the use of DOE in fault isolation and failure analysis, and the application of individual DOE methods within an integrated system. Each procedure is clearly illustrated one step at a time with the help of simplified notation and easy-to-understand spreadsheets. The book's real-world approach is reinforced throughout by case studies, examples, and exercises taken from a broad cross section of business applications. Practical Guide to Experimental Design is a valuable competitive asset for engineers, scientists, and decision-makers in many industries, as well as an important resource for researchers and advanced students.

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Editorial Reviews

An accessible introduction to the basic technical and managerial skills needed to develop, execute, and evaluate designed experiments effectively using the Design of Experiments (DOE) model. Intended for engineers, scientists, and managers, the volume covers the theory, basic statistical concepts, statistical tests, analysis of variance, full factorial and fractional factorial experiments, nonparametric tests, fault isolation and failure analysis, DOE applications and industrial processes, and other DOE applications. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471139195
  • Publisher: Wiley
  • Publication date: 11/28/1996
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 360
  • Product dimensions: 0.88 (w) x 6.14 (h) x 9.21 (d)

Meet the Author

NORMAND L. FRIGON is a partner in the business consulting firm ofDelta Performance Group. His firm provides cutting-edge consultingservices and training throughout industry in all aspects ofproduct, process, and services optimization and management. He isthe coauthor of Management 2000, From Concept to Customer,Achieving the Competitive Edge, and The Leader.

DAVID MATHEWS, PhD, is the chief engineer of Delta PerformanceGroup. He is a consultant in product design and processoptimization, specializing in new applications for statisticalcomparison techniques. He is an instructor in seminars at majoruniversities and a technical advisor to engineers andstatisticians. He also teaches at West Coast University and is aformer adjunct associate professor in both the mathematics andphysics departments at the University of Alabama in Huntsville. Heis a member of the Eta Kappa Nu and Sigma Xi honor societies.

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Table of Contents

Basic Concepts in Statistics.

Statistical Tests.

Analysis of Variance.

Full Factorial Experiments.

Fractional Factorial Experiments.

Nonparametric Tests.

Fault Isolation and Failure Analysis.

DOE Applications to Industrial Processes.

Other DOE Applications.




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