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Practical Guide To Designed Experiments: A Unified Modular Approach (Mechanical Engineering (Marcell Dekker))

✍ Scribed by Paul D. Funkenbusch


Year
2004
Tongue
English
Leaves
221
Edition
1
Category
Library

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✦ Synopsis


Many engineers and scientists have receive little or no training in designed experiments, and any courses that are available tend to be either abstract and divorced from practical considerations or strictly practical-lacking the rigor and depth necessary for true, long-term understanding.Practical Guide to Designed Experiments: A Unified Modular Approach bridges that gap, presenting the essential material in a manner that permits rapid application to practical problems but also provides the structure and understanding necessary for long-term growth. It covers two-level and three-level full and fractional factorial design and also includes the L12 and L18 designs popularized by Taguchi. The author describes the role and selection of the system response for measurement and optimization and discusses both conventional and Taguchi approaches, noting their similarities and differences. Clearly written and well organized, this text shows how the components of experimental design fit and work together. Offering an abundance of examples, case studies, and practice problems, it is highly suited to anyone with a basic science or engineering background but little or no previous exposure to matrix experiments or other elements of planned experimentation.

✦ Table of Contents


Book Cover......Page 1
Title......Page 11
Copyright......Page 12
Contents......Page 19
1 How a Designed Experiment Works......Page 25
2 Fundamental Concepts......Page 40
3 Statistical Concepts......Page 54
4 Array Design (Two-Level Factors)......Page 79
5 Selection of the Characteristic Response......Page 113
6 Inclusion of Real-World Variability......Page 136
7 Additional Array Designs......Page 153
8 Additional Analysis Techniques......Page 171
References......Page 213
Index......Page 215

✦ Subjects


Математика;Теория вероятностей и математическая статистика;Математическая статистика;Планирование эксперимента;


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