Effective Experimentation
eBook - ePub

Effective Experimentation

For Scientists and Technologists

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Effective Experimentation

For Scientists and Technologists

About this book

Effective Experimentation is a practical book on how to design and analyse experiments. Each of the methods are introduced and illustrated through real world scenario drawn from industry or research. Formulae are kept to a minimum to enable the reader to concentrate on how to apply and understand the different methods presented.

The book has been developed from courses run by Statistics for Industry Limited during which time more than 10, 000 scientists and technologists have gained the knowledge and confidence to plan experiments successfully and to analyse their data. Each chapter starts with an example of a design obtained from the authors' experience. Statistical methods for analysing data are introduced, followed, where appropriate, by a discussion of the assumptions of the method and effectiveness and limitations of the design.

The examples have been chosen from many industries including chemicals, oils, building materials, textiles, food, drink, lighting, water, pharmaceuticals, electronics, paint, toiletries and petfoods.

This book is a valuable resource for researchers and industrial statisticians involved in designing experiments. Postgraduates studying statistics, engineering and mathematics will also find this book of interest.

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Yes, you can access Effective Experimentation by Richard Boddy,Gordon Smith in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2011
Print ISBN
9780470684603
eBook ISBN
9781119957423

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Preface
  5. 1: Why bother to design an experiment?
  6. 2: A change for the better – significance testing
  7. 3: Improving effectiveness using a paired design
  8. 4: A simple but effective design for two variables
  9. 5: Investigating 3 and 4 variables in an experiment
  10. 6: More for even less: using a fraction of a full design
  11. 7: Saturated designs
  12. 8: Regression analysis
  13. 9: Multiple regression: the first essentials
  14. 10: Designs to generate response surfaces
  15. 11: Outliers and influential observations
  16. 12: Central composite designs
  17. 13: Designs for mixtures
  18. 14: Computer-aided experimental design (CAED)
  19. 15: Optimization designs
  20. 16: Improving a bad experiment
  21. 17: How to compare several treatments
  22. 18: Experiments in blocks
  23. 19: Two-way designs
  24. 20: Too much at once: incomplete block experiments
  25. 21: 23 Ways of messing up an experiment
  26. Solutions to problems
  27. Statistical tables
  28. Index