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9780898715804 Academic Inspection Copy

Experimental Design for Formulation

  • ISBN-13: 9780898715804
  • Publisher: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
    Imprint: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
  • By Wendell F. Smith
  • Price: AUD $316.00
  • Stock: 0 in stock
  • Availability: This book is temporarily out of stock, order will be despatched as soon as fresh stock is received.
  • Local release date: 30/06/2005
  • Format: Paperback (253.00mm X 177.00mm) 390 pages Weight: 684g
  • Categories: Chemical engineering [TDCB]
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Gender-Structured Population Modeling: Mathematical Methods, Numerics, and Simulations gives a unified presentation of and mathematical framework for modeling population growth by couple formation. It provides an overview of both past and present modeling results. The authors focus on pair formation (marriage) and two-sex models with different forms of the marriage functionthe basis of couple formationand discuss which of these forms might make a better choice for a particular population (the United States). The book also provides results on model analysis, gives an up-to-date review of mathematical demography, discusses numerical methods, and puts deterministic modeling of human populations into historical perspective. The authors describe several models and derive the theoretical results that demonstrate the validity of these models. The numerical methods
Wendell F. Smith is retired from Eastman Kodak Company Research Laboratories and currently spends his time teaching short courses for the American Chemical Society and for Statistical Designs in Houston, Texas. He has written articles in the area of mixture experiments and in chemistry.
Preface; Part I. Preliminaries: 1. Introduction; 2. Mixture space; 3. Models for a mixture setting; Part II. Design: 4. Designs for simplex-shaped regions; 5. Designs for non-simplex-shaped regions; 6. Design evaluation; 7. Blocking mixture experiments; Appendix 7A; Part III. Analysis: 8. Building models in a mixture setting; 9. Model evaluation; 10. Model revision; 11. Effects; 12. Optimization; Part IV. Special Topics: 13. Including process variables; 14. Collinearity; Bibliography; Index.
This book describes a systematic methodology for formulating mixed-ingredient products so that they meet particular standards.
I have long awaited Dr. Smith's text and now that it is in print I am pleased to offer my heartiest congratulations on a job well done. I am very impressed by the amount of discussion in the text devoted to the topics of model building and model evaluation and I hope the software companies that support the fitting of mixture models will incorporate the topics discussed in the text in their software. John A. Cornell, Professor Emeritus of Statistics, University of Florida
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