Handbook for Experimenters ($5.00)
Quantity:

If you prefer an Italian version, please contact us with your request.

Response Surface Methodology:
Process and Product Optimization Using Designed Experiments, 3rd Edition

Raymond H. Myers, Douglas C. Montgomery, Christine Anderson-Cook

ISBN: 978-0-470-17446-3, Hardcover, 704 pages
Copyright 2009, John Wiley & Sons, Inc.

Identifying an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, state-of-the-art presentation of response surface methodology (RSM). This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM. Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development.

Experimental Design for Formulation

Wendell F. Smith

ISBN: 0-89871-580-6, Paperback, 367 pages
Copyright 2005, The American Statistical Association & the Society for Industrial and Applied Mathematics

Experimental Design for Formulation describes a systematic methodology for formulating products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology. It contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, and the combining of mixture and non-mixture variables in a designed experiment.

Experiments with Mixtures:
Designs, Models, and the Analysis of Mixture Data, 3rd Edition

John A. Cornell (Univ. of Florida)

ISBN: 0-471-39367-3, Hardcover, 649 pages
Copyright 2002, John Wiley & Sons, Inc.

Experiments with Mixtures shows researchers and students how to design and set up mixture experiments, then analyze the data and draw inferences from the results. Virtually every technique that has appeared in the literature of mixtures can be found here, and computing formulas for each method are provided with completely worked examples. Almost all of the numerical examples are taken from real experiments.