Experiments: Planning, Analysis, And Parameter Design Optimization

Experiments: Planning, Analysis, And Parameter Design Optimization

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A Modern And Highly Innovative Guide To Industrial Experimental Designthe Past Two Decades Have Seen Major Progress In The Use Of Statistically Designed Experiments For Product And Process Improvement. In This New Work, Jeff Wu And Michael Hamada, Two Highly Recognized Researchers In The Field, Introduce Some Of The Newest Discoveries In The Design And Analysis Of Experiments As Well As Their Applications To System Optimization, Robustness, And Treatment Comparisons In The Diverse Fields Of Engineering, Technology, Agriculture, Biology, And Medicine.Drawing On Examples From Their Impressive Roster Of Industrial Clients (Including Gm, Ford, At&T, Lucent Technologies, And Chrysler), Wu And Hamada Modernize Accepted Methodologies, While Presenting Many Cuttingedge Topics For The First Time In A Single, Easily Accessible Source. These Include Robust Parameter Design, Reliability Improvement, Analysis Of Nonnormal Data, Analysis Of Experiments With Complex Aliasing, Multilevel Designs, Minimum Aberration Designs, And Orthogonal Arrays. Other Features Include:* Coverage Of Parameter Design For System Improvement First Introduced By Taguchi In The Mid1980S* An Innovative Approach To The Treatment Of Design Tables* A Discussion Of New Computing Techniques, Including Graphical Methods, Generalized Linear Models, And Bayesian Computing Via Gibbs Samplers* Each Chapter Motivated By A Real Experiment* Extensive Case Studies, Including Goals, Data, And Experimental Plans* More Than 80 Data Sets As Well As Hundreds Of Charts, Tables, And Figures

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does this book have? A: This book has six hundred thirty-eight pages. It provides in-depth coverage of experimental design and analysis.
  • Q: What is the binding type of this book? A: The book is hardcover. This ensures durability and a professional appearance on your bookshelf.
  • Q: What are the dimensions of this book? A: The book measures six point three eight inches in length, one point four inches in width, and nine point seven two inches in height. These dimensions make it easy to handle and read.
  • Q: Who are the authors of this book? A: The authors are C. F. Jeff Wu and Michael Hamada. They are recognized researchers in the field of experimental design.
  • Q: What topics does this book cover? A: The book covers various topics, including robust parameter design and reliability improvement. It also discusses modern computing techniques in experimental design.
  • Q: Is this book suitable for beginners? A: Yes, this book can be suitable for beginners. However, it also includes advanced topics that may benefit experienced practitioners.
  • Q: How can I apply the concepts from this book? A: You can apply the concepts by using the techniques described for system optimization and experimental analysis. The case studies provide real-world examples to guide you.
  • Q: Is this book useful for engineering students? A: Yes, this book is useful for engineering students. It includes applications relevant to various engineering fields and methodologies for product improvement.
  • Q: What is the primary focus of this book? A: The primary focus is on industrial experimental design for product and process improvement. It emphasizes modern methodologies and applications.
  • Q: Does this book include real-world examples? A: Yes, the book includes extensive case studies and real experiments. This helps illustrate the practical applications of the concepts.
  • Q: How do I take care of this book? A: To take care of the book, keep it in a dry place and avoid exposing it to direct sunlight. This will help preserve its condition.
  • Q: Is there a warranty for this book? A: No, books typically do not come with a warranty. However, you may be able to return it if it arrives damaged.
  • Q: What if I receive a damaged copy of this book? A: If you receive a damaged copy, contact the seller immediately for a return or replacement. Most sellers have policies for damaged items.
  • Q: Can I use this book for advanced research? A: Yes, the book is suitable for advanced research. It covers cutting-edge topics in experimental design and statistical methods.
  • Q: What additional resources are included in this book? A: The book includes more than eighty data sets and hundreds of charts, tables, and figures. These resources enhance understanding of the material.

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